In this paper, a novel intuitionist fuzzy TOPSIS method for group decision making will be presented. In this method the preference values for an alternative on criteria and the weight values of criteria are given by experts, using linguistic values of trapezoidal intuitionist fuzzy numbers, and weights of decision makers’ opinions are unknown. In proposed method, expected values and weighted averaging operator for trapezoidal intuitionist fuzzy numbers are used to induce the weight values of criteria and decision makers’ opinions. Then an algorithm for ranking alternatives is presented under trapezoidal intuitionist fuzzy environment. Finally, using a numerical example, the efficiency of new extended TOPSIS method is investigated
The Multiple Criteria Decision Making (MCDM) is acknowledged as the most useful branch of decision m...
In this paper, an improved technique for order preference by similarity to an ideal solution (TOPSIS...
This paper extends the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for s...
In multiple attribute group decision making, the weights of decision makers are very crucial to rank...
A generalized trapezoidal-valued intuitionistic fuzzy geometric aggregation operator is proposed whi...
In multiple attribute group decision making, the weights of decision makers are very crucial to rank...
Today, in the real world, many quantitative and qualitative factors like the quality, price, flexibi...
Large group decision making considering multiple attributes is imperative in many decision areas. Th...
Large group decision making considering multiple attributes is imperative in many decision areas. Th...
The aim of this paper is to develop a methodology for intuitionistic trapezoidal fuzzy multiple crit...
This paper presents a decision procedure based on an interval-valued intuitionistic fuzzy Choquet in...
The aim of this article is to investigate an approach to multiple attribute group decision making (M...
Decision making is explained as a process through which, the solution for a problem is selected. Lac...
Chen [24] introduced the extension of TOPSIS in the fuzzystructure, while this article stretches the...
The aim of this paper is to define some new operation laws for the trapezoidal linguistic cubic fuzz...
The Multiple Criteria Decision Making (MCDM) is acknowledged as the most useful branch of decision m...
In this paper, an improved technique for order preference by similarity to an ideal solution (TOPSIS...
This paper extends the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for s...
In multiple attribute group decision making, the weights of decision makers are very crucial to rank...
A generalized trapezoidal-valued intuitionistic fuzzy geometric aggregation operator is proposed whi...
In multiple attribute group decision making, the weights of decision makers are very crucial to rank...
Today, in the real world, many quantitative and qualitative factors like the quality, price, flexibi...
Large group decision making considering multiple attributes is imperative in many decision areas. Th...
Large group decision making considering multiple attributes is imperative in many decision areas. Th...
The aim of this paper is to develop a methodology for intuitionistic trapezoidal fuzzy multiple crit...
This paper presents a decision procedure based on an interval-valued intuitionistic fuzzy Choquet in...
The aim of this article is to investigate an approach to multiple attribute group decision making (M...
Decision making is explained as a process through which, the solution for a problem is selected. Lac...
Chen [24] introduced the extension of TOPSIS in the fuzzystructure, while this article stretches the...
The aim of this paper is to define some new operation laws for the trapezoidal linguistic cubic fuzz...
The Multiple Criteria Decision Making (MCDM) is acknowledged as the most useful branch of decision m...
In this paper, an improved technique for order preference by similarity to an ideal solution (TOPSIS...
This paper extends the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for s...