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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/19019
Title: A fuzzy interactive method for multiobjective engineering design problems
Authors: Deep, K.
Singh K.P.
Kansal, Mitthan Lal
Published in: Proceedings of 1st International Conference on Emerging Trends in Engineering and Technology, ICETET 2008
Abstract: Engineering design is a process of formulating a plan for the satisfaction of human needs through a cycle of steps that include problem definition, conceptualization, embodiment, and detailing. Conflicts always exist in engineering design process. Generally these problems are multiobjective and non-linear in nature. To solve these multiobjective problems, which are conflicting and non-linear, a fuzzy interactive method is introduced. In this method, firstly each objective is represented as a fuzzy goal using triangular or trapezoidal fuzzy number, and then product operator is used to aggregate these fuzzy goals. Moreover, to direct the search at each interactive phase, the decision maker gives his/her minimum reservation level for each objective which is used as additional constraint in the problem. Finally, a real coded genetic algorithm, MILXPM, is used to find the solution of the resultant fuzzy optimization problem. Gear box design and simply supported beam design problems are solved using proposed interactive method. © 2008 IEEE.
Citation: Proceedings of 1st International Conference on Emerging Trends in Engineering and Technology, ICETET 2008, (2008), 559- 563. Nagpur, Maharashtra
URI: https://doi.org/10.1109/ICETET.2008.147
http://repository.iitr.ac.in/handle/123456789/19019
Issue Date: 2008
Keywords: Diesel engines
Engineering
Fuzzy sets
Genetic algorithms
Mathematical operators
Multiobjective optimization
Process design
Technology
Additional constraint
Decision maker
Emerging trends
Engineering design problems
Engineering design process
Engineering designs
Fuzzy goals
Fuzzy optimization
Gear boxes
Human needs
International conferences
Multi objectives
Multi-objective problems
Non-linear
Problem definition
Product operators
Real coded genetic algorithm
Simply supported beams
Trapezoidal fuzzy numbers
Process engineering
ISBN: 9.78E+12
Author Scopus IDs: 8561208900
56227275100
6602727475
Author Affiliations: Deep, K., Department of Mathematics, Indian Institute of Technology, Roorkee, Uttrakhand, 247667, India
Singh, K.P., Department of Mathematics, Indian Institute of Technology, Roorkee, Uttrakhand, 247667, India
Kansal, M.L., Department of Water Resources Development Management, Indian Institute of Technology, Roorkee, Uttrakhand, 247667, India
Corresponding Author: Deep, K.; Department of Mathematics, Indian Institute of Technology, Roorkee, Uttrakhand, 247667, India; email: kusumfma@iitr.ernet.in
Appears in Collections:Conference Publications [MA]
Conference Publications [WR]

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