Technology evaluation for biogas production from animal waste in circular carbon economy: A complex spherical fuzzy set-based decision-making framework

Fetanat, Abdolvahhab; Tayebi, Mohsen; Moteraghi, Mehran

doi:10.1016/j.biteb.2023.101521

Cited by 4 publications

(2 citation statements)

References 42 publications

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“…Various systems for DSS and IDSS have been introduced, all of which rely on models that simulate human decision-making processes. Fetanat, Tayebi, and Moteraghi [9] introduced a decision-making framework that has subsequently been referred to by various names, including the Subjective Expected Utility Model, the Expected Utility Model, and the Expected Utility Model.…”

Section: Basics Of Human Decision Makingmentioning

confidence: 99%

Analysis of Intelligent Decision Support Systems and a Multi Criteria Framework for Assessment

Wang,

Liang

2023

JEBI

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The act of decision-making lies at the core of human existence and shapes our interactions with the surrounding environment. This article investigates the utilization of artificial intelligence (AI) techniques in the advancement of intelligent decision support systems (IDSS). It builds upon prior research conducted in the decision-making field and the subsequent development of decision support systems (DSS) based on that knowledge. The initial establishment of the fundamental principles of classical DSS is undertaken. The subsequent emphasis is directed towards the integration of artificial intelligence techniques within IDSS. The evaluation of an IDSS, as well as any other DSS, is a crucial undertaking in order to gain insights into the system's capabilities and identify areas that require enhancement. This article presents a review conducted on this significant yet insufficiently investigated subject matter. When utilized in conjunction with DSS, AI techniques such as intelligent agents, artificial neural networks (ANN), evolutionary computing, case-based reasoning, and fuzzy logic provide valuable assistance in defining complex practical challenges, which are mostly time-critical, encompass extensive and scattered data, and can derive advantages from sophisticated reasoning.

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Section: Basics Of Human Decision Makingmentioning

confidence: 99%

Analysis of Intelligent Decision Support Systems and a Multi Criteria Framework for Assessment

Wang,

Liang

2023

JEBI

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“…Pirbalouti et al [46] suggested a new decision-making framework for interval-valued SFSs. Fetanat et al [47] extended the TOPSIS method to a complex SF environment. Some other studies concerning SFSs and their diverse applications are given in [35], [46], [48]- [51].…”

Section: Introductionmentioning

confidence: 99%

A New Entropy Measure and COPRAS Method for Spherical Fuzzy Sets

Ganie,

Dutta,

Sharma

2024

IEEE Access

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One of the best ways to handle the ambiguity and unpredictable nature of decision-making is through fuzzy logic, and one of the most recent developments in this area is the concept of spherical fuzzy sets. Since the squared total of membership, non-membership, and hesitation degrees should be between 0 and 1, and each degree should be defined in [0, 1], the hesitation of the decision-maker(s) about an attribute can be conveyed more thoroughly. The ambiguity of a fuzzy set is computed with the help of an entropy measure, and the available entropy measures for spherical fuzzy sets have various limitations. So, in this study, we suggest an innovative entropy measurement for spherical fuzzy sets and demonstrate its capacity to satisfy the axiomatic requirements. We compared the proposed entropy metric and all currently available spherical fuzzy entropy metrics, considering different factors, including attribute weight computation, linguistic hedges, and ambiguity computation. With the help of the proposed entropy metric, we introduce the Complex Proportional Assessment method for spherical fuzzy sets and illustrate it with a numerical example.

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Monetizing and selection of sustainable tannery sludge-to-energy technology using a simulation-based novel integrated MCDM model along with life cycle Techno-Economic-ESG analysis

Moktadir,

Ren,

Ayub

et al. 2024

Chemical Engineering Journal

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Technology evaluation for biogas production from animal waste in circular carbon economy: A complex spherical fuzzy set-based decision-making framework

Cited by 4 publications

References 42 publications

Analysis of Intelligent Decision Support Systems and a Multi Criteria Framework for Assessment

Analysis of Intelligent Decision Support Systems and a Multi Criteria Framework for Assessment

A New Entropy Measure and COPRAS Method for Spherical Fuzzy Sets

Monetizing and selection of sustainable tannery sludge-to-energy technology using a simulation-based novel integrated MCDM model along with life cycle Techno-Economic-ESG analysis

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