P. J. Reddy

TL;DR: The problem of optimizing the reliability of complex systems has been modeled as a fuzzy multi-objective optimization problem, and one of the well-known global optimization meta-heuristics, the threshold accepting, has been invoked to take care of the optimization part of the model.

TL;DR: The results are encouraging as there is no reduction in the classification power in both the problems, despite the fact that some of the principal components have been deleted form the study before invoking the classifier.

TL;DR: The results indicate that the present model yielded a more efficient solution compared to the crisp solution of Allen [British Chem. Eng. 16 (1971) 685–691] as far as the fractions are concerned.

TL;DR: The inherent fuzziness in the traditional treatment of the coal parameters has been modelled for the first time in a sophisticated and systematic mathematical framework and the all important parameter, viz. fixed carbon has been given due weightage in this paper, which has not been done in earlier studies.

TL;DR: This paper addresses the application of a modified threshold accepting algorithm (MTA) for minimizing the number of rules in a fuzzy rule-based classification system, while guaranteeing high classification power.