An Efficient Method for Solving Intuitionistic Fuzzy Multi-objective Optimization Problems

摘要

Decision-making is one of the contemporary issues in thismodern era due to the interaction of risk and uncertainties in every aspect of the daily lives of human beings. Accordingly, solving practicaloptimization problems tends to be more challenging. The fundamentalreason for this investigation is to explore an effective solution techniquefor multi-objective optimization problems (MOOPs) in an intuitionisticfuzzy environment (IFE) addressing the issue of determining proper violation parameters and tolerances to the objectives and constraints. The othersignificant characteristic of this study is the consideration of the decisionmaker’s perspective, namely, optimistic, pessimistic and mixed views inthe solution procedure. In the proposed method, compared to the existing study, the required number of iterations and stages are considerablyreduced in solving intuitionistic fuzzy multi-objective optimization problems (IFMOOPs). Hence it has imperative advantages in solving complex real-world problems without much difficulty. One problem is solvedto demonstrate the competency of the planned approach. A comparativeanalysis is also undertaken to ascertain the efficiency of the technique.