Cubic picture fuzzy topological data analysis with integrating blockchain and the metaverse for uncertain supply chain management

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 131, С. 107827 - 107827

Опубликована: Янв. 4, 2024

Язык: Английский

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Enhancing Multi-Criteria Decision-Making with Fuzzy Logic: An Advanced Defining Interrelationships Between Ranked II Method Incorporating Triangular Fuzzy Numbers

Journal of Intelligent Management Decision, Год журнала: 2024, Номер 3(1), С. 56 - 67

Опубликована: Март 15, 2024

In multi-criteria decision-making (MCDM), accurately quantifying qualitative data and simulating real-world scenarios remains a significant challenge, particularly in the presence of inherent imprecision incompleteness information. Fuzzy logic, recognized for its capacity to model uncertainty ambiguity, emerges as pivotal theory processes. This study introduces an enhancement Defining Interrelationships Between Ranked Criteria II (DIBR II) method, employing triangular fuzzy numbers with variable confidence intervals determination criteria weight coefficients-essential assessing their significance impact on final decisions. The enhanced hereafter referred Fuzzy-DIBR (F-DIBR II), is elaborated upon through comprehensive description algorithmic steps, underscored by numerical example that highlights potential. Validation F-DIBR undertaken via comparative analysis against traditional DIBR approach, placing particular emphasis application within Complex Proportional Assessment (COPRAS) framework, geared towards evaluating sustainable mobility measures. focal point not only reaffirms necessity integrating logic into methodology but also validates practical applicability addressing issues. Contributions this research extend beyond theoretical enhancements MCDM landscape, offering tangible implications analyses. consistency professional terminology throughout ensures clarity coherence, aligning stringent standards top-tier academic journals.

Язык: Английский

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A Novel Data-Envelopment Analysis Interval-Valued Fuzzy-Rough-Number Multi-Criteria Decision-Making (DEA-IFRN MCDM) Model for Determining the Efficiency of Road Sections Based on Headway Analysis

Mathematics, Год журнала: 2024, Номер 12(7), С. 976 - 976

Опубликована: Март 25, 2024

The capacity of transport infrastructure is one the very important tasks in engineering, which depends mostly on geometric characteristics road and headway analysis. In this paper, we have considered 14 sections determined their efficiency based We developed a novel interval fuzzy-rough-number decision-making model consisting DEA (data envelopment analysis), IFRN SWARA (interval-valued stepwise weight-assessment-ratio WASPAS weighted-aggregate sum–product assessment) methods. main contribution study new extension method with fuzzy rough numbers. Firstly, was applied to determine according seven input–output parameters. Seven out fourteen alternatives showed full were implemented further model. After that, used for calculation final weights, while ranking sections. results show that two are similar almost equal efficiency, other stable. According obtained, best-ranked measuring segment Ivanjska–Šargovac section, gradient = −5.5%, has low deviating values headways measurement classes from PC-PC AT-PC, shows balanced continuous traffic flow. Finally, verification tests such as changing criteria comparative analysis, λ parameter, reverse rank analysis been performed.

Язык: Английский

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Identification of Industrial Occupational Safety Risks and Selection of Optimum Intervention Strategies: Fuzzy MCDM Approach

Mathematics, Год журнала: 2025, Номер 13(2), С. 301 - 301

Опубликована: Янв. 17, 2025

Over 1.1 million deaths occur annually from workplace injuries and diseases, with higher risks in developing countries. Occupational safety studies commonly use quantitative or qualitative methods, but these often fail to address uncertainty. This research targets the Libyan Steel Company (LISCO), aiming analyze develop a structured approach identify optimal risk mitigation strategies. To this end, Fuzzy Weights by ENvelope SLOpe (F-WENSLO) method was chosen determine weights of three main total 18 sub-risks belonging them, fuzzy Bonferroni mean aggregation operator is applied synthesize expert opinions. The Alternative Ranking Technique based on Adaptive Standardized Intervals (F-ARTASI) used rank most appropriate interventions. While primary identified under criteria sub-criteria are occupational diseases noise-induced 0.4737 0.1313, respectively, intervention strategy deemed effective for enhancing behavioral programs, which hold weight 11.0341. sensitivity test analysis results reveals that although parameters vary various scenarios, ranking alternatives remains consistent. Since general same other decision makers will reach similar no matter they use. shows flexible reliable decision-making adopted process optimizing risks. emphasizes critical importance prioritizing natural hazards formulation strategies thus aims contribute protection workers industrial plants such as LISCO.

Язык: Английский

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Application of the Fuzzy MCDM Model for the Selection of a Multifunctional Machine for Sustainable Waste Management

Sustainability, Год журнала: 2025, Номер 17(6), С. 2723 - 2723

Опубликована: Март 19, 2025

In the sustainability concept, one of most important areas is sustainable waste management, a system that significantly impacts both economic and social well-being. The aim this paper to create unique model can contribute better more promising management in local governments order increase level sustainability. scientific contribution novelty research reflected developing Fuzzy M-FullEX (Modified Fuller’s triangle approach extended) method for defining fuzzy weight coefficients criteria its integration with ROV (range value) ranking multifunctional machines. developed study encompasses 10 seven alternative solutions, including two aforementioned MCDM (multi-criteria decision-making) methods Bonferroni operator averaging expert assessments. results M-FullEX-Fuzzy based on preferences three experts define best machine efficient which Venieri. rankings are as follows: M1 > M3 M2 M4 M5 M6 M7. obtained were confirmed through extensive analysis (sensitivity, comparative analysis, correlation coefficients, different matrix size) discussion.

Язык: Английский

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A Probabilistic Hesitant Fuzzy Multi-Criteria Decision-Making Method Based on CSOGRMILP and Borda-CoCoSo

International Journal of Fuzzy Systems, Год журнала: 2025, Номер unknown

Опубликована: Апрель 7, 2025

Язык: Английский

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Evaluation of heritage preservation in ethnic villages through a sustainable tourist offer utilizing multi-criteria analysis methods

Tourism and Hospitality Research, Год журнала: 2025, Номер unknown

Опубликована: Апрель 18, 2025

Ethnic villages are examples of tourism products based on historical representations the region. Within these villages, tourists participate in various customs and traditions, gaining insights into heritage local communities. As should be basis for improving rural tourism, this research was conducted to investigate extent which ethnic safeguard their heritage. The examination cultural carried out by experts who evaluated importance criteria assessing application villages. A fuzzy approach used assess using Logarithm Methodology Additive Weights (LMWA) Ratio Assessment (ARAS). sampling process included an initial pool 28 identified through associations agencies. were chosen randomly selecting eight a random number generator. Through collaboration with thorough literature research, 12 established evaluating use degree Results highlighted tourist participation as most significant criterion, Lubac Valley village demonstrating superior performance. has shown, applying provides unique experience, is base developing could serve example other building offer In addition, contributes understanding current landscape strengthening promotion sustainable offer.

Язык: Английский

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Multiple-attribute decision-making for selection of medical robotic engineering based on logarithmic square root neutrosophic normal approach

Journal of Industrial and Management Optimization, Год журнала: 2024, Номер 20(7), С. 2405 - 2433

Опубликована: Янв. 1, 2024

We introduce the concept of logarithmic square root neutrosophic normal interval-valued set (LO-SRNSNIVS) based on multiple attribute decision-making (MADM) problems that can be solved in our communication. The sets (LO-SRNSSs) are new approach (IVNSSs) and (NSSs). will examine a number aggregating operators (AOs). LO-SRNSNIV using weighted (LO-SRNSNIVW) this article. Now, we presented NSNIVW averaging (LO-SRNSNIVWA), geomentric (LO-SRNSNIVWG), generalized (LO-SRGNSNIVWA) geometric (LO-SRGNSNIVWG). also develop an algorithm to solve MADM problems. A real-world scenario is given with examples, as well explanations how Euclidean distance (ED) Hamming (HD) applied. explain properties these various algebraic structures. notion for scoring function, accuracy function operational laws LO-SRNSNIVS. In addition their simplicity practicality, they help determine which option best pursue. Thus, results described models more understandable closely related integer $ \Psi $. few proposed existing compared order demonstrate validity applicability.

Язык: Английский

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Demystifying the Stability and the Performance Aspects of CoCoSo Ranking Method under Uncertain Preferences

Informatica, Год журнала: 2024, Номер unknown, С. 509 - 528

Опубликована: Янв. 1, 2024

This paper attempts to demystify the stability of CoCoSo ranking method via a comprehensive simulation experiment. In experiment, matrices different dimensions are generated Python with fuzzy data. Stability is investigated adequacy and partial tests. The test passes if order does not change even after changes made entities, pass signifies that top ranked alternative remains intact. Results infer has better respect alternatives compared criteria; shows for criteria.

Язык: Английский

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Multi-Criteria Selection of Electric Delivery Vehicles Using Fuzzy–Rough Methods

Sustainability, Год журнала: 2023, Номер 15(21), С. 15541 - 15541

Опубликована: Ноя. 1, 2023

Urban logistics implementation causes environmental pollution; therefore, it is necessary to consider the impact on environment when carrying out such logistics. Electric vehicles are alternative that reduce environment. For this reason, study investigated which electric vehicle has best indicators for urban An innovative approach selecting application of a fuzzy–rough method based expert decision making, whereby decision-making process adapted makers. In case, two methods multi-criteria making (MCDM) were used: SWARA (stepwise weight assessment ratio analysis) and MARCOS (measurement alternatives ranking according compromise solution). By applying approach, uncertainty included decision, possible use linguistic values. The results obtained by showed range price have greatest influence selection an delivery vehicle. indicated Kangoo E-Tech characteristics experts’ estimates. These confirmed validation sensitivity analysis. logistics, helps problem adjusted preferences makers who play major role in purchasing

Язык: Английский

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