In this paper, we investigate the multiple attribute decision making (MADM) problem based on the arithmetic and geometric aggregation operators with interval-valued dual hesitant fuzzy linguistic information. Then, motivated by the ideal of traditional arithmetic operation, we have developed some aggregation operators for aggregating interval-valued dual hesitant fuzzy linguistic information: i...

Most of data in Multi-attribute decision making (MADM) problems are changeable rather than constant and stable. Therefore, sensitivity analysis after problem solving can effectively contribute to making accurate decisions. In this paper, we offer a new method for sensitivity analysis in multi-attribute decision making problems in which if the weights of one attribute changes, then we can dete...

In multiple-attribute decision-making (MADM) problems, ranking the alternatives is an important step for making best decision. Intuitionistic fuzzy numbers (IFNs) are a powerful tool expressing uncertainty and vagueness in MADM problems. However, existing methods IFNs do not consider probabilistic dominance relationship between alternatives, which can lead to inconsistent inaccurate rankings. t...

Abstract. This paper introduces the concept of intuitionistic fuzzy dominance matrix (IFDM) for solving multi attribute decision making (MADM) problems in intuitionistic fuzzy soft sets. during decision making problems, dominance of one expert over others play an important role to find out the optimal alternatives. We have proposed an algorithm approach to solve MADM problems using IFDM. Finall...

A general multiple attribute decision-making (MADM) approach is proposed to integrate subjective preferences and objective information and to assess the relative weights of attributes, where subjective preferences are expressed either by a fuzzy preference relation on decision alternatives or by a pairwise comparison matrix on the relative weights of attributes or by both of them and objective ...

Multiple attribute decision making (MADM) addresses the problem of choosing an optimum choice containing the highest degree of satisfaction from a set of alternatives which are characterized in terms of their attributes. In order to make a decision or choose a best alternative, a decision maker (DM) is often asked to provide his/her preferences either on alternatives or on the relative weights ...

Forthcoming wireless environment is a fusion of numerous networks with diverse technologies deployed by individual operators. In such an environment, innovative network selection methodologies are required not only to provide “always best connected” service to mobile users but also to maximize network operator’s revenue. To fulfill such requirements, multiple attributes from each network are to...

supply chain management is one of modern approach in the field of operation and production management. nowadays success and survival of manufacturing organizations depend on effectiveness and productivity of supply chains. this research tries to investigate contributing factor to enhance supply chain productivity. then by using fuzzy promethe-a multiple attribute decision making (madm) - tous a...

The normal distribution is a usual one of various distributions in the real world. A normal neutrosophic set (NNS) is composed of both a normal fuzzy number and a neutrosophic number, which a significant tool for describing the incompleteness, indeterminacy, and inconsistency of the decision-making information. In this paper, we propose two correlation coefficients between NNSs based on the sco...