In this section, you can access to the latest technical information related to the FUTURE project topic.

Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model

This paper presents a novel approach for treating uncertainty in the multi-criteria decision making process by introducing interval rough numbers (IRN). The IRN approach enables decision making using only the internal knowledge incorporated in the data provided by the decision maker. A hybrid multi-criteria model was developed based on IRN, and demonstrated using the example of the bidder selection process in the state administration public procurement procedure. The first segment of the hybrid model deals with the rough interval DEMATEL-ANP (IR'DANP) model, which enables more objective expert evaluation of criteria in a subjective environment than the traditional/crisp approach. In the second segment, the evaluation is enabled by applying the new rough interval MAIRCA method, which introduces mathematical tools and shows high stability concerning changes in the nature and characteristics of the criteria. The results of the hybrid IR'DANP-MAIRCA model were analyzed using 36 scenarios of sensitivity analysis, which showed high stability of the results. The results of the interval rough method were compared with the fuzzy extensions of the TOPSIS, VIKOR, MABAC, TODIM, ELECTRE I and DEMATEL-ANP models.

» Author: Morteza Yazdani, Pascale Zarate, Adama Coulibaly, Edmundas Kazimieras Zavadskas

» Reference: Expert Systems with Applications, Volume 88

» Publication Date: 01/12/2017

» Source: ScienceDirect - GPP

« Go to Technological Watch



AIMPLAS Instituto Tecnológico del Plástico

C/ Gustave Eiffel, 4
(València Parc Tecnològic) - 46980
PATERNA (Valencia) - SPAIN

PHONE

(+34) 96 136 60 40

EMAIL

Project Management department - Sustainability and Industrial Recovery
life-future-project@aimplas.es