Tackling Complexity in Green Contractor Selection for Mega Infrastructure Projects: A Hesitant Fuzzy Linguistic MADM Approach with considering Group Attitudinal Character and Attributes’ Interdependency

Abstract

Continuous environmental concerns regarding construction industry have been driving general constructors of mega infrastructure projects to incorporate green contractors. Although conventional multiple attributes decision-making (MADM) methodologies have provided feasible ways to select contractor, high complexity in scenarios of megaprojects still challenges existing MADM methods in concurrently accommodating three key issues of decision hesitancy, attributes interdependency, and group attitudinal character. To elicit decision-makers’ hesitant fuzzy assessments more objectively and comprehensively, we define an expression tool called interval-valued dual hesitant fuzzy uncertain unbalanced linguistic set (IVDHF_UUBLS) and develop aggregation operators through its operations. To exploit attributes interdependency, we establish a synthesized attributes’ weighting model to fuse an attributes interdependency-based weighting vector and an argument-dependent weighting vector, which are, respectively, derived through Decision-Making and Trial Evaluation Laboratory (DEMATEL) technique and maximizing deviation method. To effectively utilize decision-makers’ group attitudinal characters, we also develop a TOPSIS-based method to rationally transform group ideal attitudes into order-inducing vectors. On the strength of the above methods, an integrated MADM approach is then constructed. Finally, illustrative case study and experiments are conducted to validate our approach.

Criteria Evaluation for Contractor Selection in Cultural Heritage Projects Using Multiple Criteria Approach

“…Additionally, contractor evaluation was suggested, developing ANP (Rashvand, Abd Majid, & Pinto, 2015;Cheng & Li, 2004), WASPAS -G (Zavadskas, Turskis, & Antuchevičienė, 2015;San Cristobal, 2012), TOPSIS and DEMATEL (Zhang, Qi, & Liang, 2018), CILOS and IDOCRIW (Trinkūnienė et al, 2017), MOORA (Brauers, Zavadskas, Turskis, & Vilutienė, 2008), COPRAS (Zavadskas, Kaklauskas, & Vilutiene, 2009;Kaklauskas et al, 2006) methods.…”

“…Presently, researchers have determined the contractor selection criteria. The most common criteria presented in the studies are financial soundness (Fong & Choi, 2000;Polat, 2016;Gao, 2018;(Vahdami, Meysam Mousavi, Hashemi, Mousakhami, & Tavakkoli-Moghaddam, 2013), technical capability (Niento-Morote & Ruz-Vila, 2012;Zavadskas et al, 2015;Zhang et al, 2018;Vahdami et al, 2013), management ability (Niento-Morote & Ruz-Vila, 2012; Chiang et al, 2017;Kaklauskas et al, 2006), health and safety (Chiang et al, 2017;Taylan et al, 2018;Gao, 2018;Holt, 1998) and reputation (Kaklauskas et al, 2006;Keung & Yiu, 2015;Enshassi, Mohamed, & Modough, 2013;Darvish, Yasaei, & Saeedi, 2009). Furthermore, along these criteria was proposed additional criteria, namely, previous performance (Hadidi & Khater, 2015;Cheng & Li, 2004;Ulubeyli & Kazaz, 2016), quality (Martin et al, 2018;Marzouk, El Kherbawy, & Khalifa, 2013;Juan, Perng, Castro-Lacouture, & Lu, 2009); and experience (Yang, H. Wang, W. Wang, & Ma, 2016;Topcu, 2004).…”

Probabilistic Hybrid Linguistic Approaches for Multiple Attribute Group Decision Making with Decision Hesitancy and the Prioritization of Attribute Relationships

“…Multiple attribute group decision-making (MAGDM) approaches thus have been developed by extending MADM to group settings, where a number of decision makers (DMs) or decision-making units (DMUs) are invited to present their assessments [5,11,12]. To deal with the uncertainty in decision maker preferences [13][14][15][16][17], fuzzy set theory [18] and its extensions have been introduced to enhance conventional MAGDM models, such as intuitionistic fuzzy sets [19,20], hesitant fuzzy sets [21], dual hesitant fuzzy sets [22], interval-valued dual hesitant fuzzy sets [23], and probabilistic dual hesitant fuzzy sets [24], among others.…”

Contractor Selection for Sgraffito Decoration of Cultural Heritage Buildings Using the WASPAS-SVNS Method

“…Because of that, Gao [14] developed multi-attribute reverse auctions (MARAs) for sustainable contractor selection for individual project corporation. Green contractor selection was presented by Zhang et al [15], developing interval-valued dual unsure fuzzy doubtful unbalanced lingual set model, which is based on DEMATEL (Decision-Making Trial and Evaluation Laboratory) and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) approaches. Trinkūnienė et al [16] for contractor contracts presented MADM approaches: SAW, TOPSIS, COPRAS and EDAS.…”