Fuzzy Theory, based on multi-valued logic, was suggested by L.A. Zadeh in the year 1965 in a paper entitled Fuzzy Sets published in Information and Control. Since then fuzzy set theory has found applications in several branches of knowledge, more particularly in subjects like Optimization and Computer Science. This book Fuzzy Logic and Optimization intends to serve as an introduction to the current state of knowledge in fuzzy set theory and its applications in the emerging areas like optimization, decision making, linear programming, goal programming, quadratic programming, game theory, operations research and in related fields.

An Inventory Model of Deteriorating Items with Non-linear Fractional Objectives in Crisp Environment using Genetic Algorithm / Interactive Fuzzy Geometric Programming Method for Multi-objective Economic Inventory Model / Single Period Inventory of Differential Items Selling at Two Shops with Different types of Demand / Optimum Inventory Model of an Item Under a Sales Promotion Scheme / Generalized Invex Functionals and Some Duality Results in Banach Spaces / Multistage Allocation Process in Inventory Control Programming / Graceful Lobsters Obtained from Graceful Diameter Four and Six Trees / Convergence and Adjoint of Interval- Valued Fuzzy Matrices / Efficient Algorithms to Solve Disjoint Cliques Problem on Interval Graphs / Some Operators Defined Over Interval-Valued Intuitionistic Fuzzy Sets / Some Operations on Interval-Valued Intuitionistic Fuzzy Matrices / Generalized Convexity in Mathematical Programming / New Spectral Theorem for Vector Spaces Over Finite Fields Zp / Generalized Intuitionistic Fuzzy Sets and Some New Operators / Fuzzy Discriminant Analysis for Linguistic Variables.

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