Fuzzy Systems: Concepts, Methodologies, Tools, and Applications

Fuzzy Systems: Concepts, Methodologies, Tools, and Applications

Information Resources Management Association

Copyright: © 2017 |Pages: 1765

ISBN13: 9781522519089|ISBN10: 1522519084|EISBN13: 9781522519096

DOI: 10.4018/978-1-5225-1908-9

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Management Association, Information Resources, editor. Fuzzy Systems: Concepts, Methodologies, Tools, and Applications. IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1908-9

APA

Management Association, I. (Ed.). (2017). Fuzzy Systems: Concepts, Methodologies, Tools, and Applications. IGI Global. https://doi.org/10.4018/978-1-5225-1908-9

Chicago

Management Association, Information Resources, ed. Fuzzy Systems: Concepts, Methodologies, Tools, and Applications. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1908-9

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There are a myriad of mathematical problems that cannot be solved using traditional methods. The development of fuzzy expert systems has provided new opportunities for problem-solving amidst uncertainties.

Fuzzy Systems: Concepts, Methodologies, Tools, and Applications is a comprehensive reference source on the latest scholarly research and developments in fuzzy rule-based methods and examines both theoretical foundations and real-world utilization of these logic sets. Featuring a range of extensive coverage across innovative topics, such as fuzzy logic, rule-based systems, and fuzzy analysis, this is an essential publication for scientists, doctors, engineers, physicians, and researchers interested in emerging perspectives and uses of fuzzy systems in various sectors.

Table of Contents

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Front Materials

Title Page

Copyright Page

Editorial Advisory Board

Preface

Chapters

Development and Design Methodologies

Chapter 1

Uncertain Static and Dynamic Analysis of Imprecisely Defined Structural Systems (pages 1-30)

S. Chakraverty, Diptiranjan Behera

This chapter presents the static and dynamic analysis of structures with uncertain parameters using fuzzy finite element method. Uncertainties presents in the parameters are modelled through convex normalised fuzzy sets. Fuzzy finite...

Chapter 2

Hierarchical Fuzzy Rule Interpolation and its Application for Hotels Location Selection (pages 31-54)

Yanling Jiang, Shangzhu Jin, Jun Peng

Fuzzy rule interpolation offers a useful means for enhancing the robustness of fuzzy models by making inference possible in systems of only a sparse rule base. However in practical applications, as the application domain of fuzzy...

Chapter 3

Modified Iterative Methods for Solving Fully Fuzzy Linear Systems (pages 55-73)

S. A. Edalatpanah

In the present chapter, we give an overview of computational iterative schemes for fuzzy system of linear equations. We also consider fully fuzzy linear systems (FFLS) and demonstrate a class of the existing iterative methods using...

Chapter 4

Comparison of Uncertainties in Membership Function of Adaptive Lyapunov NeuroFuzzy-2 for Damping Power Oscillations (pages 74-131)

Laiq Khan, Rabiah Badar, Saima Ali, Umar Farid

The direct focus of this chapter is to explore the potential of online Adaptive NeuroFuzzy Type-2 (ANFT2) control system for damping inter-area oscillations using Static Synchronous Compensator (STATCOM). The nonlinear ANFT2-based...

Chapter 5

Constructing Structural Equation Model Rule-Based Fuzzy System with Genetic Algorithm (pages 132-152)

EnDer Su, Thomas W. Knowles, Yu-Gin Fen

The present study uses the structural equation model (SEM) to analyze the correlations between various economic indices pertaining to latent variables, such as the New Taiwan Dollar (NTD) value, the United States Dollar (USD) value...

Chapter 6

A Novel Approach of Restoration of Digital Images Degraded by Impulse Noise (pages 153-169)

Rashmi Kumari, Anupriya Asthana, Vikas Kumar

Restoration of digital images degraded by impulse noise is still a challenge for researchers. Various methods proposed in the literature suffer from common drawbacks: such as introduction of artifacts and blurring of the images. A...

Chapter 7

Imprecise Knowledge and Fuzzy Modeling in Materials Domain (pages 170-183)

Subhas Ganguly, Shubhabrata Datta

This chapter highlights the usage of imprecise knowledge of materials systems using fuzzy inference systems. Experts have knowledge of complex materials systems in the imprecise linguistic form. But due to lack of phenomenological...

Chapter 8

Assessment of Clinical Decision Support Systems for Predicting Coronary Heart Disease (pages 184-201)

Sidahmed Mokeddem, Baghdad Atmani

The use of data mining approaches in medicine and medical science has become necessary especially with the evolution of these approaches and their contributions medical decision support. Coronary artery disease (CAD) touches millions...

Chapter 9

Early Warning System Framework Proposal Based on Structured Analytical Techniques, SNA, and Fuzzy Expert System for Different Industries (pages 202-234)

Goran Klepac, Robert Kopal, Leo Mrsic

Early warning systems are made with purpose to efficiently recognize deviant and potentially dangerous trends related to company business as early as possible and with significant relevance. There are numerous ways to set up early...

Chapter 10

Stability Enhancement in Multi-Machine Power Systems by Fuzzy-Based Coordinated AVR-PSS (pages 235-249)

Rahmat Khezri, Hassan Bevrani

This paper presents performance of intelligent fuzzy-based coordinated control for Automatic Voltage Regulator (AVR) and Power System Stabilizer (PSS), to prevent losing synchronism after major sudden faults and to achieve...

Chapter 11

Fuzzy Finite Element Method in Diffusion Problems (pages 250-272)

S. Chakraverty, S. Nayak

Diffusion is an important phenomenon in various fields of science and engineering. It may arise in a variety of problems viz. in heat transfer, fluid flow problem and atomic reactors etc. As such these diffusion equations are being...

Chapter 12

A Hybrid Model for Rice Disease Diagnosis Using Entropy Based Neuro Genetic Algorithm (pages 273-291)

K. Lavanya, M.A. Saleem Durai, N.Ch.S.N. Iyengar

Disease prediction is often characterized by a high degree of fuzziness and uncertainty. This may reside in the imperfect and complex nature of symptoms that aids in diagnosis.. For precise rice disease diagnosis, domain knowledge of...

Chapter 13

A Fuzzy Model with Thermodynamic Based Consequents and a Niching Swarm-Based Supervisor to Capture the Uncertainties of Damavand Power System (pages 292-307)

Ahmad Mozaffari, Moein Mohammadpour, Alireza Fathi, Mofid Gorji-Bandpy

In this investigation, a novel fuzzy mathematical program based on thermodynamic principles is implemented to capture the uncertainties of a practical power system, known as Damavand power plant. The proposed intelligent machine...

Chapter 14

Design of a Hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) Controller for Position and Angle Control of Inverted Pendulum (IP) Systems (pages 308-320)

Ashwani Kharola

This paper illustrates a comparison study of Fuzzy and ANFIS Controller for Inverted Pendulum systems. IP belongs to a class of highly non-linear, unstable and multi-variable systems which act as a testing bed for many complex...

Chapter 15

Intuitionistic Fuzzy Set Theory with Fair Share CPU Scheduler: A Dynamic Approach (pages 321-346)

Supriya Raheja

CPU Scheduler is one of the crucial modules of any operating system. Operating system uses CPU schedulers based on the requirements. Fair Share CPU scheduler is preferable scheduler by many operating systems. It distributes fixed...

Chapter 16

Classification of EEG Signals for Motor Imagery Based on Mutual Information and Adaptive Neuro Fuzzy Inference System (pages 347-366)

Shereen A. El-aal, Rabie A. Ramadan, Neveen Ghali

Electroencephalogram (EEG) signals based Brain Computer Interface (BCI) is employed to help disabled people to interact better with the environment. EEG signals are recorded through BCI system to translate it to control commands....

Chapter 17

PSK Method for Solving Type-1 and Type-3 Fuzzy Transportation Problems (pages 367-392)

P. Senthil Kumar

In conventional transportation problem (TP), supplies, demands and costs are always certain. In this paper, the author tried to categories the TP under the mixture of certain and uncertain environment and formulates the problem and...

Chapter 18

Fault Detection and Isolation for an Uncertain Takagi-Sugeno Fuzzy System using the Interval Approach (pages 393-416)

Hassene Bedoui, Atef Kedher, Kamel Ben Othman

This work deals with the fault detection and localization in the case of uncertain nonlinear systems. The presented method uses the diagnosis based on mathematical models. To model nonlinear systems, the multiple model approach is...

Tools and Technologies

Chapter 19

Fuzzy Expert System to Diagnose Diabetes Using S Weights for S Fuzzy Assessment Methodology (pages 418-442)

A. V. Senthil Kumar, M. Kalpana

In the field of medicine decision making it is very important to deal with uncertainties, knowledge, and information. Decision making depends upon the experience, capability, and the observation of doctors. In the case of complex...

Chapter 20

Hybrid Fuzzy Neural Search Retrieval System (pages 443-458)

Rawan Ghnemat, Adnan Shaout

Search engines are crucial for information gathering systems (IGS). New challenges face search engines concerning automatic learning from user requests. In this paper, a new hybrid intelligent system is proposed to enhance the search...

Chapter 21

A Multi-Objective Fuzzy Ant Colony Optimization Algorithm for Virtual Machine Placement (pages 459-486)

Boominathan Perumal, Aramudhan M.

In cloud computing, the most important challenge is to enforce proper utilization of physical resources. To accomplish the mentioned challenge, the cloud providers need to take care of optimal mapping of virtual machines to a set of...

Chapter 22

Fuzzy Adaptive Controller for Uncertain Multivariable Nonlinear Systems with Both Sector Nonlinearities and Dead-Zones (pages 487-515)

Abdesselem Boulkroune

This chapter presents two fuzzy adaptive variable structure controllers for a class of uncertain multi-input multi-output nonlinear systems with actuator nonlinearities (i.e. with sector nonlinearities and dead-zones). The design of...

Chapter 23

A Two-Level Fuzzy Value-Based Replica Replacement Algorithm in Data Grids (pages 516-539)

Nazanin Saadat, Amir Masoud Rahmani

One of the challenges of data grid is to access widely distributed data fast and efficiently and providing maximum data availability with minimum latency. Data replication is an efficient way used to address this challenge by...

Chapter 24

A Fuzzy Expert System for Star Classification Based on Photometry (pages 540-550)

Aida Pakniyat, Rahil Hosseini, Mahdi Mazinai

The application of fuzzy systems is emerging in science where experts' knowledge plays a vital role. This paper utilizes the capability of fuzzy set theory for managing uncertainty associated to star classification problem. The...

Chapter 25

Personalized Neuro-Fuzzy Expert System for Determination of Nutrient Requirements (pages 551-572)

Priti Srinivas Sajja, Jeegar Ashokkumar Trivedi

In the modern fast and stressful life, an individual does not have time to take an extra care for one's self. Support from general information about health and nutrient requirement through modern computing infrastructure is very...

Chapter 26

Movie Recommendation System Based on Fuzzy Inference System and Adaptive Neuro Fuzzy Inference System (pages 573-608)

Mahfuzur Rahman Siddiquee, Naimul Haider, Rashedur M. Rahman

One of most prominent features that social networks or e-commerce sites now provide is recommendation of items. However, the recommendation task is challenging as high degree of accuracy is required. This paper analyzes the...

Chapter 27

Fuzzy Logic-Based Cluster Heads Percentage Calculation for Improving the Performance of the LEACH Protocol (pages 609-627)

Omar Banimelhem, Eyad Taqieddin, Moad Y. Mowafi, Fahed Awad, Feda' Al-Ma'aqbeh

In wireless sensor networks, cluster-based routing was proven to be the most energy-efficient strategy to deal with the scaling problem. In addition, selecting the proper number of clusters is a critical decision that can impose a...

Chapter 28

Evaluation of Human Machine Interface (HMI) on a Digital and Analog Control Room in Nuclear Power Plants Using a Fuzzy Logic Approach (pages 628-646)

Pola Lydia Lagari, Antonia Nasiakou, Miltiadis Alamaniotis

Nuclear Power Plants (NPPs) are nowadays facing a transition from analog to digital control rooms, mainly in the form of new interfaces for displaying sensor information as of Human Machine Interface (HMI) were one-sided, taking into...

Chapter 29

Including Client Opinion and Employee Engagement in the Strategic Human Resource Management: An Advanced SWOT- FUZZY Decision Making Tool (pages 647-662)

Rachid Belhaj, Mohamed Tkiouat

The trend in the Human Resources Management is to enhance it to the strategic level, this paper intends to provide an advanced decision making tool in the field of the Strategic Human Resources Management applying a combination of an...

Chapter 30

An Optimal Fuzzy Load Balanced Adaptive Gateway Discovery for Ubiquitous Internet Access in MANET (pages 663-681)

Prakash Srivastava, Rakesh Kumar

A mobile ad hoc network (MANET) is an autonomous collection of independent nodes cooperating together to form an infrastructure less network spontaneously. For increasing usability of MANET domain which finds application in natural...

Chapter 31

A Hybrid System Based on FMM and MLP to Diagnose Heart Disease (pages 682-714)

Swati Aggarwal, Venu Azad

In the medical field diagnosis of a disease at an early stage is very important. Nowadays soft computing techniques such as fuzzy logic, artificial neural network and Neuro- fuzzy networks are widely used for the diagnosis of various...

Chapter 32

Strictness Petroleum Prediction System Based on Fuzzy Model (pages 715-737)

Senan A. Ghallab, Nagwa. L. Badr, Abdel Badeeh Salem, M. F. Tolba

Petroleum exploration and production is an industry that provides researchers with multi-variant challenging “real world” properties. Recently, some petroleum soft computing techniques have gained a greater interest in prediction...

Chapter 33

Fuzzy-Based Matrix Converter Drive for Induction Motor (pages 738-762)

Chitra Venugopal

In industrial applications, approximately, 60% of world's consumption of electrical energy passes through the windings of squirrel-cage induction motors. Hence it is necessary to select an efficient drive circuit for induction...

Chapter 34

A Fuzzy-Based Calorie Burn Calculator for a Gamified Walking Activity Using Treadmill (pages 763-781)

Prabhakar Rontala Subramaniam, Chitra Venugopal, Arun Kumar Sangaiah

Gamification can be viewed as a process design which encapsulates competition, achievements, status and self-expression. Gamification is used as a tool for improving physical fitness. In this chapter the physical activity using...

Chapter 35

Application of Fuzzy Logic for Mapping the Agro-Ecological Zones (pages 782-806)

Bistok Hasiholan Simanjuntak, Sri Yulianto Joko Prasetyo, Kristoko Dwi Hartomo, Hindriyanto Dwi Purnomo

The mapping of agro-ecological zone, which is integrated with the suitability of land evaluation, will determine the ideal farming system. The ideal farming system including sustainable land management will support the food security...

Chapter 36

Prediction of Solar and Wind Energies by Fuzzy Logic Control (pages 807-834)

Sanaa Faquir, Ali Yahyaouy, Hamid Tairi, Jalal Sabor

Nowadays, the use of renewable energy has become increasingly significant, and cost-effective. Between all existing sources of energy, solar and wind energies are the highly exploited. However, solar and wind energies are not...

Chapter 37

Enhancement of Turbo-Generators Phase Backup Protection Using Adaptive Neuro Fuzzy Inference System (pages 835-854)

Mohamed Salah El-Din Ahmed Abdel Aziz, Mohamed Elsamahy, Mohamed A. Moustafa Hassan, Fahmy M. A. Bendary

This research work presents an advanced solution for the problem due to the current setting of Relay (21). This problem arises when it is set to provide thermal backup protection for the generator during two common system...

Chapter 38

Fuzzy Rule Based Environment Monitoring System for Weather Controlled Laboratories Using Arduino (pages 855-872)

S. Sasirekha, S. Swamynathan

Weather controlled laboratories such as blood banks, plasma centers, biomedical, research, pharmacy and healthcare always require a portable, low cost and web-based centralized wireless monitoring system. However, it has become more...

Chapter 39

Fuzzy Labeled Transition Refinement Tree: Application to Stepwise Designing Multi Agent Systems (pages 873-905)

Sofia Kouah, Djamel-Eddine Saidouni

This paper aims to provide a formal framework that supports an incremental development of dynamic systems such as multi agents systems (MAS). We propose a fuzzy labeled transition system model (FLTS for short). FLTS allows a concise...

Chapter 40

Rule-Based Systems for Medical Diagnosis (pages 906-933)

V. S. Giridhar Akula

A rule-based system is a set of “if-then” statements that uses a set of assertions, to which rules on how to act upon those assertions are created. Rule-based expert systems have played an important role in modern intelligent systems...

Utilization and Application

Chapter 41

Implementation of Fuzzy Technology in Complicated Medical Diagnostics and Further Decision (pages 935-968)

A. B. Bhattacharya, Arkajit Bhattacharya

This chapter presents the importance of fuzzy expert systems in the medical field. Efficient and suitable medical work becomes difficult many times without the knowledge of the rules of logic. The chapter highlights the ways of...

Chapter 42

Intelligent Decision Making and Risk Analysis of B2c E-Commerce Customer Satisfaction (pages 969-986)

Masoud Mohammadian

Customer satisfaction and relationship is complex, demanding, and yet crucial to an organization success and its competitive position in the marketplace. Due to rapid changes in emerging technologies there is a need for constant...

Chapter 43

Fuzzy Logic Based Approach for Power System Fault Section Analysis (pages 987-1002)

Neeti Dugaya, Smita Shandilya

In this chapter, a fuzzy expert system is developed to assist the operators in fault detection. It requires much less memory to store the database (power system topology and the post fault status of circuit breakers and protective...

Chapter 44

Some Recent Defuzzification Methods (pages 1003-1019)

Harendra Kumar

Defuzzification is a process that converts a fuzzy set or fuzzy number into a crisp value or number. Defuzzification is used in fuzzy modeling and in fuzzy control system to convert the fuzzy outputs from the systems to crisp values....

Chapter 45

Application of Fuzzy Expert System in Medical Treatment (pages 1020-1069)

Kajal Ghosal, Partha Haldar, Goutam Sutradhar

The incidence of breast cancer is increasing day by day. Emotional significance of females for the fear of removal of breast demands attention and carries a particular terror. Fuzzy logic-based expert system is a powerful tool that...

Chapter 46

Predicting Uncertain Behavior and Performance Analysis of the Pulping System in a Paper Industry Using PSO and Fuzzy Methodology (pages 1070-1109)

Harish Garg, Monica Rani, S.P. Sharma

The main objective of the present study is to permit the reliability analyst or system manager to analyze the failure behavior of the system in a more consistent and logical manner. As the collected or available data from various...

Chapter 47

Vague Correlation Coefficient of Interval Vague Sets and its Applications to Topsis in MADM Problems (pages 1110-1149)

John Robinson P., Henry Amirtharaj E. C.

Various attempts are made by researchers on the study of vagueness of data through Intuitionistic Fuzzy sets and Vague sets, and also it is shown that Vague sets are Intuitionistic Fuzzy sets. However, there are algebraic and...

Chapter 48

A Fuzzy-Based Approach to Support Decision Making in Complex Military Environments (pages 1150-1182)

Timothy P. Hanratty, E. Allison Newcomb, Robert J. Hammell II, John T. Richardson, Mark R. Mittrick

Data for military intelligence operations are increasing at astronomical rates. As a result, significant cognitive and temporal resources are required to determine which information is relevant to a particular situation. Soft...

Chapter 49

Nonlinear System Identification of Smart Buildings (pages 1183-1202)

Soroush Mohammadzadeh, Yeesock Kim

In this book chapter, a system identification method for modeling nonlinear behavior of smart buildings is discussed that has a significantly low computation time. To reduce the size of the training data used for the adaptive...

Chapter 50

Fuzzy Logic-Based Intelligent Control System for Active Ankle Foot Orthosis (pages 1203-1236)

M. Kanthi

The Ankle Foot Orthosis (AFO) is an orthotic device intended to assist or to restore the movements of the ankle foot complex in the case of pathological gait. Active AFO consists of sensor, controller, and actuator. The controller...

Chapter 51

Knowledge Representation Using Fuzzy XML Rules in Web-Based Expert System for Medical Diagnosis (pages 1237-1267)

Priti Srinivas Sajja

The Web is a huge repository of information for large spectrum of decision making and advise. To effectively utilise it, there is a need for knowledge-based techniques. This chapter proposes a novel technique of knowledge...

Chapter 52

Improvement of JXTA-Overlay P2P Platform: Evaluation for Medical Application and Reliability (pages 1268-1284)

Yi Liu, Shinji Sakamoto, Keita Matsuo, Makoto Ikeda, Leonard Barolli, Fatos Xhafa

JXTA-Overlay is a middleware built on top of the JXTA specification, which defines a set of protocols that standardize how different devices may communicate and collaborate among them. JXTA-Overlay provides a set of basic...

Chapter 53

Bio-Inspired Computing through Artificial Neural Network (pages 1285-1313)

Nilamadhab Dash, Rojalina Priyadarshini, Brojo Kishore Mishra, Rachita Misra

Developing suitable mathematical or algorithmic model to solve real life complex problems is one of the major challenges faced by the researchers especially those involved in the computer science field. To a large extent...

Chapter 54

Trust Calculation Using Fuzzy Logic in Cloud Computing (pages 1314-1366)

Rajanpreet Kaur Chahal, Sarbjeet Singh

Cloud Computing is the latest rage in the world of technology. It has vast potential that can be tapped to the advantage of mankind. But there are some challenges which need to be resolved in order to fully utilise its potential. One...

Chapter 55

Fuzzy Decision Support System for Coronary Artery Disease Diagnosis Based on Rough Set Theory (pages 1367-1384)

Noor Akhmad Setiawan

The objective of this research is to develop an evidence based fuzzy decision support system for the diagnosis of coronary artery disease. The development of decision support system is implemented based on three processing stages...

Chapter 56

Artificial Intelligent Approaches for Prediction of Longitudinal Wave Velocity in Rocks (pages 1385-1395)

A. K. Verma, T. N. Singh, Sachin Maheshwar

Intelligent techniques are quickly gaining importance in the field of geophysics, mining and geology. In this chapter the significance of intelligent techniques like ANN and ANFIS for prediction of longitudinal wave velocity and its...

Chapter 57

An Adaptive Path Planning Based on Improved Fuzzy Neural Network for Multi-Robot Systems (pages 1396-1424)

Zhiguo Shi, Huan Zhang, Jingyun Zhou, Junming Wei

The fuzzy neural network (FNN) is the combination of fuzzy theory with neural network, which has advantages of validity and adaptability in robot path planning. However, the path planning based on the FNN is not optimal because of...

Chapter 58

Information Systems on Hesitant Fuzzy Sets (pages 1425-1452)

Deepak D., Sunil Jacob John

Knowledge extraction from information systems is one of the most significant problems in artificial intelligence. This paper attempts to study information systems in the hesitant fuzzy domain. It studies information systems which has...

Chapter 59

Artificial Intelligence Methods and Their Applications in Civil Engineering (pages 1453-1477)

Gonzalo Martínez-Barrera, Osman Gencel, Ahmet Beycioglu, Serkan Subaşı, Nelly González-Rivas

Simulation of material properties generally involves the development of a mathematical model derived from experimental data. In structural mechanics and construction materials contexts, recent experiments have reported that fuzzy...

Chapter 60

Contrasting Correlation Coefficient with Distance Measure in Interval Valued Intuitionistic Trapezoidal Fuzzy MAGDM Problems (pages 1478-1517)

John P. Robinson

In this paper, Multiple Attribute Group Decision Making (MAGDM) problems in which the data is of the form of Interval Valued Intuitionistic Trapezoidal Fuzzy Numbers (IVITzFNs) is presented. Some operational laws of IVITzFNs are...

Chapter 61

A Study on Hybridization of Intelligent Techniques in Bioinformatics (pages 1518-1539)

Peyakunta Bhargavi, S. Jyothi, D. M. Mamatha

This chapter aims to study the use of Hybridization of intelligent techniques in the areas of bioinformatics and computational molecular biology. These areas have risen from the needs of biologists to utilize and help interpret the...

Chapter 62

Dynamic Behaviour and Crack Detection of a Multi Cracked Rotating Shaft using Adaptive Neuro-Fuzzy-Inference System: Vibration Analysis of Multi Cracked Rotating Shaft (pages 1540-1551)

Rajeev Ranjan

The presence of crack changes the physical characteristics of a structure which in turn alter its dynamic response characteristics. So it is important to understand dynamics of cracked structures. Crack depth and location are the...

Organizational and Social Implications

Chapter 63

Modeling Conflict Dynamics: System Dynamic Approach (pages 1553-1575)

Janez Usenik, Tit Turnsek

This chapter touches the question of how to model conflict. The discussion is limited to inter- and intra- organizational conflicts. The focus is on the behavior of the conflict in time. A working definition of conflict, named...

Chapter 64

Fuzzy Opinion: Detection of Opinion Based on SentiWordNet Dictionary by Using Fuzzy Logic (pages 1576-1595)

Mohamed Amine Boudia, Reda Mohamed Hamou, Abdelmalek Amine

In this paper, the authors propose a new approach to detect opinion by SentiWorNet with the introduction of the concept of fuzzy logic. In this vein, the authors will build detection system fuzzy opinion “Fuzzy Opinion.” To give...

Chapter 65

Adjust Fuzzy Model Parameters for Head Election in Wireless Sensor Network Protocols (pages 1596-1619)

Walaa Abd el Aal Afifi, Hesham Ahmed Hefny

The clustering routing protocols attract many research papers that result from their well topology control, less demand resources, and less energy dissipation. The cluster routing protocols consist of single hop communication and...

Chapter 66

Bidder Selection in Public Procurement using a Fuzzy Decision Support System (pages 1620-1642)

Vjekoslav Bobar, Ksenija Mandic, Milija Suknovic

Bidder selection in public procurement is a decision making problem whose primary purpose is to achieve the cost effectiveness and efficiency in the expenditure of public money. This principle is also known as the principle of “value...

Chapter 67

Fuzzy Dynamic Load Balancing in Virtualized Data Centers of SaaS Cloud Provider (pages 1643-1665)

Md. S. Q. Zulkar Nine, Abul Kalam Azad, Saad Abdullah, Rashedur M. Rahman

Cloud computing provides a robust infrastructure that can facilitate computing power as a utility service. All the virtualized services are made available to end users in a pay-as-you-go basis. Serving user requests using distributed...

Emerging Trends

Chapter 68

Emerging Application of Fuzzy Expert System in Medical Domain (pages 1667-1689)

A. V. Senthil Kumar, M. Kalpana

Fuzzy expert system is an artificial intelligence tool that helps to resolve the decision-making problem with the existence of uncertainty and plays an important role in medicine for symptomatic diagnostic remedies. In this chapter...

Chapter 69

Fuzzy Critical Path Method Based on a New Approach of Ranking Fuzzy Numbers Using Centroid of Centroids (pages 1690-1707)

N. Ravi Shankar, B. Pardha Saradhi, S. Suresh Babu

The Critical Path Method (CPM) is useful for planning and control of complex projects. The CPM identifies the critical activities in the critical path of an activity network. The successful implementation of CPM requires the...

Chapter 70

MAGDM-Miner: A New Algorithm for Mining Trapezoidal Intuitionistic Fuzzy Correlation Rules (pages 1708-1738)

John P. Robinson, Henry E.C. Amirtharaj

In this article, the authors propose a new framework called the MAGDM-Miner, for mining correlation rules from trapezoidal intuitionistic fuzzy data efficiently. In the MAGDM-Miner, the raw data from a Multiple Attribute Group...

Chapter 71

Advances in QoS/E Characterization and Prediction for Next Generation Mobile Communication Systems (pages 1739-1765)

Charalampos N. Pitas, Apostolos G. Fertis, Dimitris E. Charilas, Athanasios D. Panagopoulos

The scope of this work is to present a holistic approach in quality of service (QoS) and quality of experience (QoE) characterization and prediction in modern mobile communication networks. Analytically, multi radio access...

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