Abstract
Infrastructure projects (IPs) face numerous challenges to reach the predefined aims over their life-cycle. There are many difficulties in projects because of the variety of elements in project’s tendency and the dependency of the project on mainly national factors. Due to these difficulties and their practices, the projects meet with uncertainty. In this paper, an interval-valued intuitionistic fuzzy set (IVIFS) is used at identifying ambiguity in IPs. Also, a new multi-criteria decision-making (MCDM) model is presented to evaluate and select the suitable alternative in IPs. Hence, a new IVIF-relative preference alternative-multi-attributive border approximation area comparison (IVIF-RPR-MABAC), and IVIF-weighted aggregated sum product assessment (IVIF-WASPAS) are proposed in order to obtain the weights of decision makers (DMs) and criteria, and a new IVIF-RPR-MABAC method is proposed to rank the alternatives. In this paper, a combination of the three mentioned approaches creates proposed new hybrid model to evaluate the main factors and the projects. Furthermore, a real case study is applied from the literature to validate the efficiency and performance of the proposed model. Afterward, a comparative analysis is presented to validate the proposed approach by comparing the hybrid proposed model with two IVIF-TOPSIS and IVIF-extended-VIKOR methods. The final results confirm the efficiency of the proposed model in ranking the main alternatives of an MCDM problem. Moreover, the sensitivity analysis is reported to determine the affection of parameters on the final weighting and ranking outcomes.
Highlights
Infrastructure projects (IPs) display an essential practice in construction conditions that links constructing and manufacturing projects to energy, water, and other topics to each other
This paper proposes a new hybrid weighting and ranking model that includes IVIF-relative preference relation (RPR)-multi-attributive border approximation area comparison (MABAC), IVIF-weighted aggregated sum product assessment (WASPAS), and new IVIF-RPR-MABAC approaches for solving the evaluation and selection problems of IPs
This paper presented a new hybrid weighting and ranking approach to compute the decision makers (DMs) weights, criteria weights, and alternatives ranks, respectively
Summary
Infrastructure projects (IPs) display an essential practice in construction conditions that links constructing and manufacturing projects to energy, water, and other topics to each other. Due to the incrementing elaboration of the social and economic environments, the shortage of information about the problem, and expert’s ability relevant to the information process, sometimes, an expert is hard to prioritize describing options with regard to criteria precisely but can give a value range In this respect, for assessing an index, DM may be more comfortable to represent the value of criterion with satisfactory and dissatisfactory degrees by utilizing an interval value, respectively (Hashemi et al, 2013; Salimian & Mousavi, 2021). By extending IFSs to IVIFSs, controlling uncertain and vague information becomes more successful due to the particular that the ambiguous, membership and non-membership degrees are represented as ranges of values instead of actual values (Davoudabadi et al, 2021) For this reason, Gürbüz et al (2012) presented an integrated MCDM method to select the ERP problem with a conflict criterion. Mohagheghi et al (2019) proposed a sustainable infrastructure selection multi-criteria group decision making (MCGDM) problem with MORAS method under interval type-2 fuzzy conditions.
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