چكيده به لاتين
Undoubtedly, every human being is faced with all kinds of issues and situations during his daily life that he has to make decisions. Nowadays, correct decision making is so important that some management experts equate decision making and management with each other and believe that the quality of management is essentially a function of the quality of decision making. However, the variety of quantitative and qualitative criteria involved in the decision-making process and the need to pay attention to each of them at the same time, as well as the multiplicity of decision-making indicators add to the complexity of decisions. For this reason, in recent decades, methods called Multi-Criteria Decision Making (MCDM) methods have been developed to help solve these problems. The best-worst (BWM) method is one of the newest and most efficient of these methods, which has been developed to weigh decision factors and criteria. In this study, we propose the Manhattan BWM method, which does not require additional additional calculations and analyzes compared to the nonlinear form of the traditional best-worst method for calculating the weight of decision criteria. Then, using numerical examples, we describe the efficiency of the proposed method against the traditional best-worst method. Finally, the combination of the proposed multi-criteria decision-making technique and the method similar to the fuzzy ideal solution (FUZZY TOPSIS) will be used to determine the relative weights (degree of importance) of financial ratios and scoring and ranking of banks and financial institutions operating in the Iranian stock market. The results show that the best-worst Manhattan method is an effective tool in calculating the weight of decision-making criteria and compared to the linear and nonlinear form of the traditional best-worst method, regardless of the number of criteria involved in the decision-making process, unique and reliable solutions. Offers
