An integrated MCDM technique combined with DEMATEL for a novel cluster-weighted with ANP method

摘要: Traditionally, most importance-assessing methods used to demonstrate the importance among criteria by preference weightings are based on assumptions of additivity and independence. In fact, people have found that using such an additive model is not always feasible because dependence feedback somewhat different degrees. To solve issue analytic network process (ANP) method proposed Saaty. The general easy useful for solving above-mentioned problem. However in ANP procedures, average (equal cluster-weighted) obtain weighted supermatrix seems be irrational there degrees influence criteria. Therefore, we intended propose integrated multiple decision making (MCDM) techniques which combined with trial evaluation laboratory (DEMATEL) a novel cluster-weighted this paper, DEMATEL visualize structure complicated causal relationships between system level these And, then adopt values as base normalization calculating weights relative importance. Additionally, empirical study illustrated more suitable reasonable. By concept ideal point, some important conclusions drawn from practical application can referred practitioners.