Browsing by Author "Zavadskas, Edmundas Kazimieras"

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Hyperbolic fuzzy set decision framework for construction contracts integrating CRITIC and WASPAS for dispute mitigation
(Automation in Construction, 2025-06) Zavadskas, Edmundas Kazimieras; Krishankumar,Raghunathan; Ravichandran,Kattur Soundarapandian; Vilkonis, Arvydas; Antucheviciene, Jurgita
The paper attempts to mitigate disputes during drafting of a construction contract by presenting a decision framework. The research questions considered are to set the main criteria involved and their relative importance in contract clauses selection and evaluate the priority of different contract clauses. In response, the paper presents an integrated framework involving hyperbolic fuzzy data, CRiteria Importance Through Intercriteria Correlation (CRITIC) method for criteria weight calculation, and query-based Weighted Aggregated Sum Product ASsessment (WASPAS) method for determining personalized priority of contract clauses. Results infer that work termination, customer reserve, guarantee periods and responsibilities of contractor/customer are the key criteria, and contract under the Fédération Internationale des Ingénieurs-Conseils (FIDIC) Yellow Book is of top priority. Such integrated framework serves as supplement to contractors and customers for prompt and rational decision-making by reducing human intervention, managing uncertainty, and reducing bias/subjectivity. In the future, plans are made to include a priori information into the decision framework.
Ranking Barriers Impeding Sustainability Adoption in Clean Energy Supply Chains: A Hybrid Framework With Fermatean Fuzzy Data
(IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT,, 2024) Krishankumar,Raghunathan; Ramanujam, Niranjana; Zavadskas, Edmundas Kazimieras; Ravichandran,Kattur Soundarapandian; Gandomi, Amir H.
—In this article, we aim to prioritize barriers hindering sustainability inclusion within clean energy supply chains. Supply chain management is a crucial aspect of the clean energy sector, whereby the global supply chains can be enforced with policies to adopt sustainability/green practices. The literature infers that the adoption of sustainability is not direct, and multiple barriers impede the process, driving researchers to rank these barriers. Previous studies on prioritizing barriers cannot effectively model uncertainty; experts’ reliability is directly assigned; interrelationships/hesitation of criteria/experts are usually not considered; and there is a lack of personalized ordering based on individuals’ preferences. Motivated by these gaps, the authors put forward an integrated framework with a Fermatean fuzzy set, variance-based criteria importance through intercriteria correlation for determining experts’ and criteria weights, and ranking procedure with complex proportional assessment–Copeland for personalized ordering of barriers. The usefulness of the developed approach is testified through a case example. Results infer that wastage/pollution reduction and profit from green production are the two top criteria considered for rating sustainability barriers, while limited governmental policies, monitoring/control issues, and expertise mismatch are the top three barriers impeding sustainability adoption. Finally, sensitivity and comparative analyses are performed to understand the framework’s efficacy