Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations

Abstract

Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology has been proposed to solve complex and intertwined problem groups in many situations such as developing the capabilities, complex group decision making, security problems, marketing approaches, global managers, and control systems. DEMATEL is able to realize casual relationships by dividing important issues into cause and effect group as well as making it possible to visualize the casual relationships of subcriteria and systems in the course of casual diagram that it may demonstrate communication network or a little control relationships between individuals. Despite of its ability to visualize cause and effect inside a network, the original DEMATEL has not been able to find the cause and effect group between different networks. Therefore, the aim of this study is proposing the expanded DEMATEL to cover this deficiency by new formulations to determine cause and effect factors between separate networks that have bidirectional direct impact on each other. At the end, the feasibility of new extra formulations is validated by case study in three numerical examples of green supply chain networks for an automotive company.

DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications

“…Next, we chose the articles which had used the DEMATEL technique or its extensions to solve real-world problems, and 346 academic papers fell under the scope of this review after title, abstract, and full-text screening. Since this study focuses on both the DEMATEL and its applications, those studies which only modify the DEMATEL technique without applying to actual settings have been eliminated (for the interested readers, please refer, e.g., to [4][5][6]). Finally, the resulting papers were reviewed thoroughly to identify the focus, method, application, and combination with other methods.…”

“…. , } are asked to indicate the direct influence that factor has on factor , using an integer scale of "no influence (0)," "low influence (1)," "medium influence (2)," "high influence (3)," and "very high influence (4)." Then, the individual direct-influence matrix = [ ] × provided by the th expert can be formed, where all principal diagonal elements are equal to zero and represents the judgment of decision maker on the degree to which factor affects factor .…”

“…Then, the total-influence matrix is obtained through (4). Finally, an IRM can be constructed by using (5), with the horizontal axis ( + ) and the vertical axis ( − ).…”

Flood mitigation measres using intuitionistic fuzzy dematel method

“…DEMATEL method is one of the popular technique that can visualize the relationship of effect and cause group in digraph by establishing the worthy and important of factors and sub-factors [27]. The basic steps are:…”

Prioritizing Strategies for Sustainable End-of-Life Vehicle Management Using Combinatorial Multi-Criteria Decision Making Method

“…Step 3 Calculate the total relation matrix T. D m is the power of the normalized initial direct-relation matrix D which is identified as a m-indirect effect and can be used to demonstrate the effect of length m or the effect propagated after m -1 intermediates [38]. A continuous reduction of the indirect effects of problems besides the powers of matrix D, like an engrossing Markov chain matrix, guarantees convergent solutions to the matrix inversion.…”