Imprecise Knowledge and Fuzzy Modeling in Materials Domain

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Author(s): Subhas Ganguly (National Institute Technology Raipur, India)and Shubhabrata Datta (Calcutta Institute of Engineering and Management, India)
Copyright: 2016
Pages: 15
Source title: Computational Approaches to Materials Design: Theoretical and Practical Aspects
Source Author(s)/Editor(s): Shubhabrata Datta (Calcutta Institute of Engineering and Management, India)and J. Paulo Davim (University of Aveiro, Portugal)
DOI: 10.4018/978-1-5225-0290-6.ch009

Keywords: Engineering Science Reference / Materials Science / Materials Science and Engineering / Science & Engineering

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Abstract

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 relations, material engineers are compelled to depend on empirical models for practical complex systems. This limitation could be overcome to a certain extent through the method of utilizing this imprecise knowledge with the help of fuzzy logic. The case studies presented here have demonstrated that systems with imprecise knowledge but with sparse data could be modeled successfully in this approach.

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