Abstract
This study introduces a new decision model with multi-criteria analysis by a group of decision makers (DMs) with intuitionistic fuzzy sets (IFSs). The presented model depends on a new integration of IFSs theory, ELECTRE and VIKOR along with grey relational analysis (GRA). To portray uncertain real-life situations and take account of complex decision problem, multi-criteria group decision-making (MCGDM) model by totally unknown importance are introduced with IF-setting. Hence, a weighting method depended on Entropy and IFSs, is developed to present the weights of DMs and evaluation factors. A new ranking approach is provided for prioritizing the alternatives. To indicate the applicability of the presented new decision model, an industrial application for assessing contractors in the construction industry is given and discussed from the recent literature.
Highlights
The contractor selection process (CSP) includes five main stages in practice as follows [1]: Project packaging; Invitation; Prequalification; Shortlisting; Bid evaluation.Multi-criteria decision-making (MCDM) approach can be suitable in solving complex problems, such as executing system selection and contractor evaluation [2,3,4]
Concluding Remarks and Future Research New group decision model can take account of the gaps between the Qi values of varioTuhseaslttuedrnyaitnivtreosdaupcpeedara lnaerwgervewrshieonn tohfeMcoCeGffiDcMienmt ocadnenl outncdhearnugnecerertmaianrtkya.bMlya, jaonr dcotnhceeyphtsaovfe IeFnSosutghheosrtyabailnitdy.grey relational analysis (GRA) were considered in the presented model along with the uncertain ELECTRE and VIKOR methods for selection and assessment problems
Major concepts of intuitionistic fuzzy sets (IFSs) theory and GRA were considered in the presented model along with the uncertain ELECTRE and VIKOR methods for selection and assessment problems
Summary
The contractor selection process (CSP) includes five main stages in practice as follows [1]:. Multi-criteria decision-making (MCDM) approach can be suitable in solving complex problems, such as executing system selection and contractor evaluation [2,3,4]. You et al [23] extended MCDM approach based on ELECTRE III and best-worst techniques with the multiplicative preference relations and intuitionistic fuzzy sets (IFSs). Various scientists have displayed new approaches and methodologies to adapt to the fuzzy MCDM (FMCDM) issues with taking IFSs. Chen [33] developed an IFS-approach to the problem solving, by utilizing decision tree induction. This study designs a new multi-criteria group decision-making (MCGDM) model in light of novel hybrid approaches of the GRA, IF-ELECTRE and VIKOR along with multi-criteria analysis.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
