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Effective Implementation of Knowledge Management Systems (KMS) in Government Schemes/Programs of Selected Sectors Using Soft Computing

Effective Implementation of Knowledge Management Systems (KMS) in Government Schemes/Programs of Selected Sectors Using Soft Computing

Mriganka Mohan Chanda, Neelotpaul Banerjee, Gautam Bandyopadhyay
Copyright: © 2022 |Volume: 18 |Issue: 1 |Pages: 22
ISSN: 1548-0666|EISSN: 1548-0658|EISBN13: 9781799893608|DOI: 10.4018/IJKM.297608
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MLA

Chanda, Mriganka Mohan, et al. "Effective Implementation of Knowledge Management Systems (KMS) in Government Schemes/Programs of Selected Sectors Using Soft Computing." IJKM vol.18, no.1 2022: pp.1-22. http://doi.org/10.4018/IJKM.297608

APA

Chanda, M. M., Banerjee, N., & Bandyopadhyay, G. (2022). Effective Implementation of Knowledge Management Systems (KMS) in Government Schemes/Programs of Selected Sectors Using Soft Computing. International Journal of Knowledge Management (IJKM), 18(1), 1-22. http://doi.org/10.4018/IJKM.297608

Chicago

Chanda, Mriganka Mohan, Neelotpaul Banerjee, and Gautam Bandyopadhyay. "Effective Implementation of Knowledge Management Systems (KMS) in Government Schemes/Programs of Selected Sectors Using Soft Computing," International Journal of Knowledge Management (IJKM) 18, no.1: 1-22. http://doi.org/10.4018/IJKM.297608

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Abstract

Soft Computing (SC) technique consisting of several fields of Artificial Intelligence namely, Artificial Neural Networks (ANNs), Fuzzy Logic (FL), Genetic Algorithms (GA), Machine Learning (ML) and Probabilistic Reasoning (PR) is a new paradigm in computing based on a creative mix of comparatively newer computing techniques. Here, we have taken into consideration several important schemes/ programs of selected sectors pertaining to different Central Ministries/ Departments of Government of India and observed that proper Knowledge Management System (KMS) can be developed and implemented in such cases using ANN based soft computing input output model as an effective tool for the same. Further, we have analyzed how various input and output parameters (both physical and financial) associated with each such selected scheme/ program are related to each other in the light of their basic objectives and the way these can be appropriately represented by an ANN based soft computing input output model in which the expected outputs corresponding to certain inputs can be calculated/ estimated.