Robust Ordinal Regression (ROR) supports Multiple Criteria Decision Process by considering all sets of parameters of an assumed preference model, that are compatible with preference information elicited set of parameters, respectively. In this paper, we propose an extension of ELECTRE and PROMETHEE methods to the case of the hierarchy of criteria, which was never considered before. Then, we ada...

Picture fuzzy set (PFS) is more comprehensive tool than intuitionistic (IFS) for modeling the uncertain decision-making problems. In this paper, a new picture entropy measure proposed and proved that satisfies axiomatic definition of measures sets. Besides this, useful mathematical properties are also investigated. The justification established by discussing its particular cases compares it wit...

in this research priority of gorgan’s sub- watershed were done after normalizing the indicators using gis software. the multi-attribute decision-making methods including electre, topsis and saw were used in this study. ahp was applied in order to weighting the indicators in expert choice software. first, priority the sub-watershed were done by electre, topsis and saw using the excel. each metho...

This paper applies a new multi attribute decision-making (MADM) model to help companies for enterprise resource planning (ERP) selection problem based on Balanced Score Card method. This paper uses three-parameter interval grey numbers which is derived from Grey theory (was proposed by J. Deng). This numbers is used instead of linguistic variables. Beside, a new weighting method that outcomes f...

in recent years, the problem of selecting and evaluating the suppliers in supply chain management has aroused considerable interest in business firms. owing to the development of information systems, reaching an appropriate decision for adopting discrete methods is a need. the researchers intend to present a new model in this paper as a contributing factor in the grey environment in which the r...

Multi-criteria group decision-making is a process in which decision makers assess the performance of alternatives on the basis of conflicting criteria to opt the most worthy alternative as solution. TOPSIS and ELECTRE are effective and commonly used methods to solve multiple criteria decision-making problems. The aim of this study is to propose two new models, namely, complex Pythagorean fuzzy ...

Methods in the Decision Support System (DSS) have their own techniques solving organizational problems. Determining appropriate DSS method with problem is a common difficulty experienced by organizations. The performance of can be measured various ways. This research aims to determine two methods, specifically Technique for Others Preference Similarity Ideal Solution (TOPSIS) and Election at Ch...

In multi criteria Decision Making, the decision maker wants to find the best alternative among a set of alternatives in order to satisfy a set of criteria. Traditionally, decision making models are based on crisp data. The shortcoming of these data in capturing the reality and lack of information persuaded researchers to develop decision making methods with uncertain data. In this paper, the EL...