2014•Indian Journal of Science and TechnologyOpen access

Optimality Criteria for Fuzzy Pseudo Convex Functions

Sanjaya Kumar Behera

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Abstract

Convex optimization can provide both global as well as local solution; in the case of non convex optimization, it is difficult to get global solution. This paper presents some optimality criteria for the non convex programming problem whose objective function is fuzzy pseudo convex functions. Keywords: Fuzzy Pseudo Convex Functions, Fuzzy Quasi Convex Functions, Non Convex Programming Problem

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What this paper is about

Convex optimization can provide both global as well as local solution; in the case of non convex optimization, it is difficult to get global solution. This paper presents some optimality criteria for the non convex programming problem whose objective function is fuzzy pseudo convex functions. Keywords: Fuzzy Pseudo Convex Functions, Fuzzy Quasi Convex Functions, Non Convex Programming Problem

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Available abstract

Convex optimization can provide both global as well as local solution; in the case of non convex optimization, it is difficult to get global solution. This paper presents some optimality criteria for the non convex programming problem whose objective function is fuzzy pseudo convex functions. Keywords: Fuzzy Pseudo Convex Functions, Fuzzy Quasi Convex Functions, Non Convex Programming Problem

Key concepts: Proper convex function, Convex optimization, Subderivative, Convex analysis, Conic optimization, Mathematical optimization, Convex combination, Mathematics

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