Industrial Wastes Risk Ranking with TOPSIS, Multi Criteria Decision Making Method

A Multi-Criteria Decision-Making Approach with Interval Numbers for Evaluating Project Risk Responses

The risk response development is one of the main phases in the project risk management that has major impacts on a large-scale project’s success. Since projects are unique, and risks are dynamic through the life of the projects, it is necessary to formulate responses of the important risks. Conventional approaches tend to be less effective in dealing with the imprecise of the risk response deve...

An AHP-Delphi Multi-Criteria Decision Making Model with Application to Environmental Decision-Making

Multi-criteria Decision Making Models by Applying the Topsis Method to Crisp and Interval Data

In this paper, one of the multi-criteria models in making decision, a Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), is described. Some of the advantages of TOPSIS methods are: simplicity, rationality, comprehensibility, good computational efficiency and ability to measure the relative performance for each alternative in a simple mathematical form. The paper has a r...

Fuzzy multi-criteria decision making method based on fuzzy structured element with incomplete weight information

The fuzzy structured element (FSE) theory is a very useful toolfor dealing with fuzzy multi-criteria decision making (MCDM)problems by transforming the criterion value vectors of eachalternative into the corresponding criterion function vectors. Inthis paper, some concepts related to function vectors are firstdefined, such as the inner product of two function vectors, thecosine of the included ...

A New Hesitant Fuzzy Linguistic TOPSIS Method for Group Multi-Criteria Linguistic Decision Making

Hesitant fuzzy linguistic decision making is a focus point in linguistic decision making, in which the main method is based on preference ordering. This paper develops a new hesitant fuzzy linguistic TOPSIS method for group multi-criteria linguistic decision making; the method is inspired by the TOPSIS method and the preference degree between two hesitant fuzzy linguistic term sets (HFLTSs). To...