making decision has become one of the most challenging responsibilities of managers in recent decades. finding the optimum solution for multiple criteria decision making problems is complicated. notably, multiplicity of decision making indices accompanied by variability in quantitative and qualitative measures aggregates the complexity of decisions. operations research (or) and multiple criteri...

the development of multiple criteria decision making techniques is to provide the possibility of using multiple criteria in decision making problems. multi-criteria decision making problems primarily relate to choosing the best option among several available options and according to some indicators. one of the major issues in this regard is to determine the importance weights of decision criter...

rapid technological and economic growth over the last several decades has changed human lives and made modern society face complex decision making problems. these kinds of problems are characterized by incommensurate and conflicting criteria or objectives such as cost, reliability, performance, safety and productivity. multi criteria decision making is an approach that can be used to deal compl...

in most of the multi-criteria decision making problems, it is important to have necessary information about relative importance of each criteria. in this group of problems, weights measure the relative importance of preferences of each criteria in comparison with the other decision making criteria. in this research, the nise method has been used for mapping mean-variance efficient frontier. nis...

the sensitivity analysis for multi-attribute decision making (madm) problems is important for two reasons: first, the decision matrix as the source of the results of a decision problem is inaccurate because it sorts the alternatives in each criterion inaccurately. second, the decision maker may change his opinions in a time period because of changes in the importance of the criteria and in the ...

Due to the increasing competition of globalization, selection of the most appropriate supplier is one of the key factors for asupply chain management’s success. Due to conflicting evaluations and insufficient information about the criteria, Intuitionisticfuzzy sets (IFSs) considered as animpressive tool and utilized to specify the relative importance of the criteria. The aim of this paper is to...

time, cost and quality are considered as the main components in managing each project. previous researches have mainly focused on the time-cost trade-off problems. recently quality is considered as the most important factor in project�s success, which is influenced by time acceleration that is the less time is spent the more success is gained. in time-cost-quality trade-off problems, each act...

environmental factors are one of the most sensitive issues that should be considered in many decisions. site selection is one of the most widely used spatial decision making problems and is influenced by many environmental factors. the purpose of site selection is to find a set of appropriate spatial alternatives for a particular application. site selection is a multi-criteria decision making p...