Decision Algorithms in Fuzzy Situations,

Classical decision models and algorithms are either dichotomous in character feasible - nonfeasible, optimal - not optimal or they are stochastic. There are, however, many decision making situations which are illstructured or vague and which cannot properly be modelled by use of classical tools. Fuzzy set theory has been put forward as a possible bridge between models and reality in such vaguely described situations. More than 4000 publications are available in the area of fuzzy set theory and its applications. Of particular interest for fuzzy set modelling seems to be the area of decision making. Algorithmic approaches such as fuzzy linear programming as well as results of axiomatic and empirical research and their application to civilian and military problems are presented. Author