Elements of Fuzzy-Like MOMSDM

Abstract

The need to address uncertainty in multiple objective multistage decision making (MOMSDM) is widely recognized, as uncertainties exist in a variety of system components. As a result, the inherent complexity and uncertainty existing in real-world MOMSDM problems has essentially placed them beyond conventional deterministic optimization methods. Fuzzy set theory was developed for solving problems in which descriptions of the activities and observations are imprecise, vague, and uncertain. The term “fuzzy” refers to a situation in which there are no well-defined boundaries to the set of activities or observations to which the descriptions apply. This fuzziness exists in many situations in the practical applications of MOMSDM, such as in equipment failure rate, effective monthly working days, transportation and stay time, arrival rate of vehicles, and facilities service rate.