Banerjee, Goutam (2009) Fuzzy Cognitive Maps for Identifying Critical Path in Strategic Domains. Defence Science Journl, 59 (2). pp. 152-161. ISSN 0011-748X

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Abstract

Fuzzy cognitive maps (FCM) are hybrid tools of artificial neural network and fuzzy logic systems. One of their major uses is in decision support systems. To arrive at correct decisions, the fuzzy interconnections between attributes are either trained or assigned by domain experts. The network target may be fixed or unknown. In this paper, the FCM has been illustrated in a strategic domain in which the target is fuzzily defined and unknown. The target value is therefore estimated first by fuzzy inference rules for a collection of imprecisely defined attributes and then the fuzz gradation to which the Value belongs is used as the basis to tune the cognitive niap The domain concerns a research institution. The target risk is the tirne by which the projects run-off beyond the Stipulated time of completion. The paper shows that certain instinctively chosen membership functions to tune the cognitive map are able to reproduce the belief surrounding the criticality of the domain.

Item Type:	Article
Subjects:	Basic Science
Divisions:	UNSPECIFIED
Depositing User:	Ashok K Podder
Date Deposited:	21 Feb 2012 11:08
Last Modified:	21 Feb 2012 11:08
URI:	http://cgcri.csircentral.net/id/eprint/459

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