Introductory Sections -- Fuzziness, Rationality, Optimality and Equilibrium in Decision and Economic Theories -- to Fuzzy and Possibilistic Optimization -- Basic Issues -- Aggregation Operators for Evaluating Alternatives -- Optimization and Aggregation Functions -- Chebyshev Approximation of Inconsistent Fuzzy Relational Equations with Max-T Composition -- Various Types of Fuzzy Optimization and Fuzzy Mathematical Programming Models -- A Survey of Fuzzy Convex Programming Models -- Approaches to Linear Programming Problems with Interactive Fuzzy Numbers -- Possibilistic Optimization Tasks with Mutually T-Related Parameters: Solution Methods and Comparative Analysis -- A Parametrized Model for Optimization with Mixed Fuzzy and Possibilistic Uncertainty -- On Solving Optimization Problems with Ordered Average Criteria and Constraints -- Fuzzy Dynamic Programming Problem for Extremal Fuzzy Dynamic System -- Vaguely Motivated Cooperation -- Fuzzy Network and Combinatorial Optimization -- Computing Min-Max Regret Solutions in Possibilistic Combinatorial Optimization Problems -- Stochastic Bottleneck Spanning Tree Problem on a Fuzzy Network -- The Use of Fuzzy Numbers in Practical Project Planning and Control -- Applications -- Ant Feature Selection Using Fuzzy Decision Functions -- Application of Fuzzy Theory to the Investment Decision Process -- Decision Making Techniques in Political Management -- Mathematical Approaches for Fuzzy Portfolio Selection Problems with Normal Mixture Distributions -- Fuzzy Random Redundancy Allocation Problems -- Reliable Biological Circuit Design Including Uncertain Kinetic Parameters -- Fuzzy Optimal Algorithms for Multiple Target Convergence -- Fuzzy Linear Programming in Practice: An Application to the Spanish Football League.

Optimization is an extremely important area in science and technology which provides powerful and useful tools and techniques for the formulation and solution of a multitude of problems in which we wish, or need, to to find a best possible option or solution. The volume is divided into a coupe of parts which present various aspects of fuzzy optimization, some related more general issues, and applications.