A new fuzzy simulation approach for project evaluation based on concepts of risk, strategy, and group decision making with interval-valued intuitionistic fuzzy sets

Davoudabadi, Reza; Mousavi, Seyed Meysam; Patoghi, Amirhosein

doi:10.1007/s12652-022-04399-3

Cited by 7 publications

(3 citation statements)

References 45 publications

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“…Future research endeavors can build upon these foundations to further enhance the contractor selection process and integrate new technologies for improved decision-making capabilities. In addition, to handle high uncertainty in the real-world applications, new extended fuzzy sets, such as type-2 fuzzy sets, interval-valued intuitionistic fuzzy sets, and interval-valued Pythagorean fuzzy sets, can be taken from the recent literature [44][45][46][47][48][49][50].…”

Section: Discussionmentioning

confidence: 99%

Enhancing Contractor Selection Process by a New Interval-Valued Fuzzy Decision-Making Model Based on SWARA and CoCoSo Methods

Karami

Mousavi

Antuchevičienė

2023

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Contractor selection is a crucial aspect of construction projects, with a significant impact on project success. However, traditional methods may not effectively handle the complexities and uncertainties involved in decision-making. To address this, advanced techniques like Multi-Criteria Decision-Making (MCDM) have been developed. In this study, we propose a new approach based on two uncertain methods, Interval-Valued Fuzzy Step-Wise Weight Assessment Ratio Analysis (IVF-SWARA) and Interval-Valued Fuzzy Combined Compromise Solution (IVF-CoCoSo), for contractor selection in construction projects. These methods use interval-valued fuzzy numbers (IVFNs) to handle decision-making under uncertainty and imprecision. By leveraging the benefits of IVFNs, the proposed methods enhance accuracy and flexibility, enabling more informed and reliable decisions. An application example illustrates the effectiveness of the methods, and sensitivity analysis examines how varying criteria weights affect contractor rankings. The study concludes that the IVF-SWARA and IVF-CoCoSo methods assist decision-makers in selecting suitable contractors and achieving project success. These methods provide a robust framework to navigate complexities and uncertainties, leading to improved decision-making in contractor selection for construction projects.

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Section: Discussionmentioning

confidence: 99%

Enhancing Contractor Selection Process by a New Interval-Valued Fuzzy Decision-Making Model Based on SWARA and CoCoSo Methods

Karami

Mousavi

Antuchevičienė

2023

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“…Furthermore, FS is a special case of IFS, if at (ψ ) 0. Further, Gohain et al [12] proposed the distance measures for interval-valued IFSs, Ejegwa and Ahemen [13] presented similarity measures for enhanced IFSs, Davoudabadi et al [14] derived the simulation approaches for IFSs, Ejegwa and Agbetayo [15] introduced the similarity-distance measures for IFSs, Salimian and Mousavi [16] presented the MADM technique based on IFSs, Mahmood et al [17] proposed the TOPSIS method and Hamacher Choquet integral operators for IFSs, Shi et al [18] developed the power operators for interval-valued IFSs, Garg et al [19] gave the Schweizer-Sklar prioritized operators for IFSs, Albaity et al [20] presented Aczel-Alsina operators for intuitionistic fuzzy soft set (IFSS). Ecer [21] derived the modified MAIRCA technique for IFSSs, Garg and Rani [22] presented the distance measures for IFSs, Khan et al [23] proposed the divergence measures for IFSs, and Gohain et al [24] discussed the distance measures for IFS and their applications in decisionmaking, pattern recognition, and clustering analysis.…”

Section: Introductionmentioning

confidence: 99%

Hamacher interaction aggregation operators for complex intuitionistic fuzzy sets and their applications in green supply chain management

Liu,

Ali

2024

Complex Intell. Syst.

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A complex intuitionistic fuzzy (CIF) set contains the membership and non-membership in the shape of a complex number whose amplitude term and phase term are covered in the unit interval. Moreover, Hamacher interaction aggregation operators are the combination of two major operators, called Hamacher aggregation operators and interaction aggregation operators, and they are used to aggregate the collection of information into one value. In this manuscript, we present the concept of Hamacher interaction operational laws for CIF sets (CIFSs). Further, we develop the CIF Hamacher interaction weighted averaging (CIFHIWA) operator, CIF Hamacher interaction ordered weighted averaging (CIFHIOWA) operator, CIF Hamacher interaction weighted geometric (CIFHIWG) operator, and CIF Hamacher interaction ordered weighted geometric (CIFHIOWG) operator. For these operators, we also discuss some basic properties, such as idempotency, monotonicity, and boundedness. Additionally, we develop a MADM method based on the developed operators and apply it to solve the green supply chain management problems, which can implement environmentally friendly practices to minimize carbon emissions, resource consumption, and waste generation while promoting long-term sustainability. Finally, we verify the superiority and effectiveness of the proposed method based on a comparative analysis between the proposed techniques and existing methods.

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“…Furthermore, some applications of IFSs and IVIFSs are discussed in the shape, for instance, WASPAS technique and Aczel-Alsina operators for intuitionistic fuzzy soft sets (Albaity et al, 2023). Power operators based on Aczel-Alsina operational laws for IVIFSs (Shi et al, 2023) are also a very reliable technique for aggregating the collection of information into singleton sets, Davoudabadi et al (2023) exposed the simulation approach for project evaluation under the consideration of IVIFSs, and Chen et al (2023) presented coronavirus disease 2019 based on IVIFSs.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Digital Green Innovation Based on Schweizer–Sklar Prioritized Aggregation Operators for Interval-Valued Picture Fuzzy Supply Chain Management

Ali,

Rehman

2024

JCCE

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Digital green innovation economics and management for Industry 5.0 was not widely recognized, and the commonly referenced industry paradigm was Industry 4.0. Furthermore, digital green innovation is part of the above information referring to the integration of digital technologies with environmentally sustainable practices to develop innovative solutions that evaluate ecological challenges. In this manuscript, we evaluate the Schweizer–Sklar operational laws based on interval-valued picture fuzzy (IVPF) values. Further, we investigate prioritized aggregation operators based on Schweizer–Sklar operational laws for IVPF information, called IVPF Schweizer–Sklar prioritized averaging operator, IVPF Schweizer–Sklar prioritized geometric operator, IVPF Schweizer–Sklar prioritized weighted averaging operator, and IVPF Schweizer–Sklar prioritized weighted geometric operator. Some properties for the above-initiated operators are also derived. Additionally, we analyze the digital green innovation with the help of multi-attribute decision-making technique for initiated operators to show the reliability and supremacy of the proposed theory. Finally, we demonstrate examples for addressing the comparison among the initiated theory and existing ideas to improve the worth of the derived theory.

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A new fuzzy simulation approach for project evaluation based on concepts of risk, strategy, and group decision making with interval-valued intuitionistic fuzzy sets

Cited by 7 publications

References 45 publications

Enhancing Contractor Selection Process by a New Interval-Valued Fuzzy Decision-Making Model Based on SWARA and CoCoSo Methods

Enhancing Contractor Selection Process by a New Interval-Valued Fuzzy Decision-Making Model Based on SWARA and CoCoSo Methods

Hamacher interaction aggregation operators for complex intuitionistic fuzzy sets and their applications in green supply chain management

Analysis of Digital Green Innovation Based on Schweizer–Sklar Prioritized Aggregation Operators for Interval-Valued Picture Fuzzy Supply Chain Management

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