2017
DOI: 10.22147/jusps-b/290201
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Truss Design Optimization with Imprecise Load and Stress in Intuitionistic Fuzzy Environment

Abstract: In this paper, we have introduced a intuitionistic fuzzy mathematical programming with intuitionistic fuzzy number as co-efficient of objectives. Real world engineering problems are usually designed with imprecise parameter by the presence of many conflicting objectives. In this paper we develop an approach to solve multi-objective structural design using probabilistic operator. Here total integral values of triangular intuitionistic fuzzy number,and it has been used for imprecise applied load and material den… Show more

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Cited by 2 publications
(2 citation statements)
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References 9 publications
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“…In IFS theory we usually consider degree of acceptance, and degree of rejection where as we consider only membership function in fuzzy set. Sarkar 13 optimize two bar truss design with imprecise load and stress in intuitionistic fuzzy environment calculating total integral values of triangular intuitionistic fuzzy number. Shu 14 applied triangular intuitionistic fuzzy number to fault tree analysis on printed board circuit assembly.…”
Section: Introductionmentioning
confidence: 99%
“…In IFS theory we usually consider degree of acceptance, and degree of rejection where as we consider only membership function in fuzzy set. Sarkar 13 optimize two bar truss design with imprecise load and stress in intuitionistic fuzzy environment calculating total integral values of triangular intuitionistic fuzzy number. Shu 14 applied triangular intuitionistic fuzzy number to fault tree analysis on printed board circuit assembly.…”
Section: Introductionmentioning
confidence: 99%
“…A few research work has been done on intuitionistic fuzzy optimization in the field of structural optimization. Sarkar [13] optimize two bar truss design with imprecise load and stress in intuitionistic fuzzy environment calculating total integral values of triangular intuitionistic fuzzy number. Shu [14] applied triangular intuitionistic fuzzy number to fault tree analysis on printed board circuit assembly.…”
Section: Introductionmentioning
confidence: 99%