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P. J. Reddy

Bio: P. J. Reddy is an academic researcher from Indian Institute of Chemical Technology. The author has contributed to research in topics: Fuzzy logic & Fuzzy set. The author has an hindex of 5, co-authored 8 publications receiving 274 citations.

Papers
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Journal ArticleDOI
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.
Abstract: The problem of optimizing the reliability of complex systems has been modeled as a fuzzy multi-objective optimization problem. Three different kinds of optimization problems: reliability optimization of a complex system with constraints on cost and weight; optimal redundancy allocation in a multistage mixed system with constraints on cost and weight; and optimal reliability allocation in a multistage mixed system with constraints on cost, weight, and volume have been solved. Four numerical examples have been solved to demonstrate the effectiveness of the present methodology. The influence of various kinds of aggregators is also studied. The inefficiency of the noncompensatory min operator has been demonstrated. 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. A software has been developed to implement the above model. The results obtained are encouraging.

140 citations

Journal ArticleDOI
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.

41 citations

Journal ArticleDOI
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.

35 citations

Journal ArticleDOI
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.

32 citations

Journal ArticleDOI
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.

28 citations


Cited by
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Book
01 Dec 1973

779 citations

Journal ArticleDOI
TL;DR: This corpus of literature is analyzed by using the co-word bibliometric methodology to assess the state- of-the-art in this research area and suggest suggestions for future research.
Abstract: Neural networks are used in business organizations for providing intelligent decision support. The ABI/Inform bibliographic database has over 1 000 publications on business-related research in neur...

675 citations

Journal ArticleDOI
01 Mar 2007
TL;DR: This paper addresses issues related to: 1) universal generating-function-based optimal multistate system design; 2) percentile life employed as a system performance measure; 3) multiobjective optimization of reliability systems, especially with uncertain component-reliability estimations; and 4) innovation and improvement in traditional reliability optimization problems.
Abstract: Reliability has become a greater concern in recent years, because high-tech industrial processes with ever increasing levels of sophistication comprise most engineering systems today. To keep pace with this rapidly developing field, this paper provides a broad overview of recent research on reliability optimization problems and their solution methodologies. In particular, we address issues related to: 1) universal generating-function-based optimal multistate system design; 2) percentile life employed as a system performance measure; 3) multiobjective optimization of reliability systems, especially with uncertain component-reliability estimations; and 4) innovation and improvement in traditional reliability optimization problems, such as fault-tolerance mechanism and cold-standby redundancy-involved system design. New developments in optimization techniques are also emphasized in this paper, especially the methods of ant colony optimization and hybrid optimization. We believe that the interesting problems that are reviewed here are deserving of more attention in the literature. To that end, this paper concludes with a discussion of future challenges related to reliability optimization

360 citations

Journal ArticleDOI
19 Apr 2004
TL;DR: Different fuzzy-based definitions of optimality and dominated solutions, being nonpreference based, are introduced and tested on analytical test cases, in order to show their validity and nearness to human decision making.
Abstract: When dealing with many-objectives optimization problems, the concepts of Pareto-optimality and Pareto-dominance are often inefficient in modeling and simulating human decision making. This leads to an unpractical size for the set of Pareto-optimal (PO) solutions, and an additional selection criteria among solutions is usually arbitrarily considered. In the paper, different fuzzy-based definitions of optimality and dominated solutions, being nonpreference based, are introduced and tested on analytical test cases, in order to show their validity and nearness to human decision making. Based on this definitions, different subsets of PO solution set can be computed using simple and clear information provided by the decision maker and using a parameter value ranging from zero to one. When the value of the above parameter is zero, the introduced definitions coincide with classical Pareto-optimality and dominance. When the parameter value is increased, different subset of PO solutions can be obtained corresponding to higher degrees of optimality.

316 citations

Journal ArticleDOI
TL;DR: The proposed fuzzy multiple attribute decision-making method is a generalised model, which can be applied to great variety of practical problems encountered in the naval architecture from propulsion/manoeuvring system selection to warship requirements definition.

291 citations