Adaptation of Induced Fuzzy Cognitive Maps to the Problems Faced by the Power Loom Workers | Zendy

Samayan Narayanamoorthy | Zendy; Samayan Kalaiselvan | Zendy

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Adaptation of Induced Fuzzy Cognitive Maps to the Problems Faced by the Power Loom Workers

Author(s) -

Samayan Narayanamoorthy,

Samayan Kalaiselvan

Publication year - 2012

Publication title -

international journal of intelligent systems and applications

Language(s) - English

Resource type - Journals

eISSN - 2074-9058

pISSN - 2074-904X

DOI - 10.5815/ijisa.2012.09.10

Subject(s) - loom , computer science , adaptation (eye) , cognition , power (physics) , fuzzy logic , fuzzy cognitive map , artificial intelligence , fuzzy set , psychology , neuroscience , fuzzy classification , physics , quantum mechanics

The Indian textile industry has a significant presence in the economy as well as in the international textile economy. In this research Paper we study the socio economic problems faced by power loom workers in Avinashi in Tamilnadu, India, using Induced Fuzzy Cognitive Maps (IFCMs). We have interviewed 50 households in the study area using a linguistic questionnaire. As the problems faced by them at large, involved so much of feelings and uncertainties. We felt it to fit to use fuzzy theory in general and induced fuzzy cognitive maps in particular. For IFCMs is the best suited tool when the data is an unsupervised one.

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