Interactive group decision-making using fuzzy programming with preference criteria

This paper presents an algorithm for solving a decision situation involving many decision-makers who are all concerned with determining a compromise solution to a given multiobjective problem. Fuzzy programming enables the decision-makers to vary, at any given iteration in the execution of a computer programme, their fuzzy aspiration levels in terms of input information known as preference criteria and underachievement tolerance values. Since conflict in aspiration levels usually entails an infeasible situation, a binary search technique is applied to the set of aspiration levels until a feasible efficient and acceptable compromise solution is obtained.