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...

In the literature on MCDM, many methods have been proposed in order to sort alternatives evaluated on several attributes into ordered categories. Most of them were proposed on an ad hoc basis. Using tools from conjoint measurement, this paper takes a more theoretical approach to these sorting methods. We provide an axiomatic analysis of the partitions of alternatives into two categories that ca...

In this paper we describe the data for five real applications of multicriteria methods in the context of environmental problems. The applications are: (1) the choice of a solid waste management system for the Uusimaa region, Finland, (2) for the Jämsä region, Finland, (3) the Oulu region, Finland, (4) locating a waste treatment facility in the Savonlinna region, Finland, and (5) choosing among ...

This paper presents a new fuzzy multicriteria classi®cation method, called PROAFTN, for assigning alternatives to prede®ned categories. This method belongs to the class of supervised learning algorithms and enables to determine the fuzzy indi€erence relations by generalising the indices (concordance and discordance) used in the ELECTRE III method. Then, it assigns the fuzzy belonging degree of ...