Abstract This paper takes the time weight and attribute weight in different periods into consideration to propose a dynamic triangular fuzzy number type multi-attribute decision making method to solve the problem with multi-attribute decision making with triangular fuzzy number as the attribute value. This method utilizes the characteristics of the triangular fuzzy number in order to establish ...

A decision making approach which combines multi-attribute decision making techniques with expert systems is described in the paper. In this approach, knowledge about a particular decision making problem is represented in the form of tree-structured criteria and decision rules. Decision making is supported by an expert system shell. In the paper, the discussion is mainly concentrated on the part...

Low-carbon tourism plays an important role in carbon emission reduction and environmental protection. Low-carbon tourism destination selection often involves multiple conflicting and incommensurate attributes or criteria and can be modelled as a multi-attribute decision-making problem. This paper develops a framework to solve multi-attribute group decision-making problems, where attribute evalu...

Hesitant fuzzy sets have a unique characteristic that its basic element could manifest the assessment values of different decision makers on same option under certain criterion. Base-criterion method is very significant tool for calculating weights criteria in multiple decision-making. In this paper, we developed novel approach hesitant BCM based multiplicative preference relation group making....

In wireless network applications, such as routing decision, selection, etc., the Multi-Attribute Decision Making (MADM) is widely used. The MADM approach can address multi-objective decision making issues effectively. However, when parameters vary greatly, traditional algorithm not effective anymore. To solve this problem, in paper, we propose pairwise-based algorithm. PMADM, only two nodes' ut...

With respect to decision making problems by using probabilities, immediate probabilities and information that can be represented with hesitant fuzzy information, some new decision analysis are proposed. Then, we have developed some new probability aggregation operators with hesitant fuzzy information: probability hesitant fuzzy weighted average (P-HFWA) operator, immediate probability hesitant ...