Mathematical programming is one of the areas to which fuzzy set theory has been applied
extensively. Primarily based on Bellman and Zadeh's model of decision in fuzzy …

Linear programming is a technique widely used in decision-making nowadays. Linear
programming in a fuzzy environment makes it even more interesting due to the vagueness …

The most widely used technique for solving and optimizing a real-life problem is linear
programming (LP), due to its simplicity and efficiency. However, in order to handle the …

The main characteristics of the real-world decision-making problems facing humans today
are multidimensional and have multiple objectives including eco nomic, environmental …

Fuzzy set theory was first developed for solving the imprecise/vague problems in the field of
artificial intelligence, especially for imprecise reasoning and modelling linguistic terms. In …

In the previous chapter, we have discussed a variety of computationally efficient approaches
for solving crisp multiple objective decision making problems. However, the input data, such …

In the two decades since its inception by L. Zadeh, the theory of fuzzy sets has matured into
a wide-ranging collection of concepts, models, and tech niques for dealing with complex …

Game theory has already proved its tremendous potential for conflict resolution problems in
the fields of Decision Theory and Economics. In the recent past, there have been attempts to …

This paper discusses full fuzzy linear programming (FFLP) problems of which all parameters
and variable are triangular fuzzy numbers. We use the concept of the symmetric triangular …

Everyday people need to make decisions, and the decision makers usually face multiple,
conflicting objectives and uncertain environments. The research about uncertain multi …