A sustainability evaluation framework for the urban energy Internet using the Fermatean fuzzy Aczel-Alsina hybrid MCDM method

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 238, P. 122115 - 122115

Published: Oct. 18, 2023

Language: Английский

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Aczel-Alsina power bonferroni aggregation operators for picture fuzzy information and decision analysis

Complex & Intelligent Systems, Journal Year: 2024, Volume and Issue: 10(3), P. 3329 - 3352

Published: Feb. 2, 2024

Abstract Picture fuzzy set (PFS) is an expedient mathematical approach for interpreting imprecise and nebulous information, the power Bonferroni mean (PBM) operator a crucial generalization of average (PA) operator, (BM) operator. Based on Aczel-Alsina (AA), operational principles PFS, we expand PBM to integrate PFVs develop few AOs, namely PF (PFAAPBM) weighted (WPFAAPBM) PGBM (PFAAPGBM) geometric (WGPFAAPBM) operators respectively. These newly suggested can detect connections between membership, abstinence, non-membership functions, which also maintain important characteristics After that, analyze enticing along with particular applications operators. our technique, built illustrated numerical example selection competent research scientists cope MADM issues under framework PFVs. Finally, contrast methodologies other prevailing methods determine feasibility legitimacy strategies.

Language: Английский

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New Aczel–Alsina components for bipolar fuzzy numbers and their use in multi-attribute decision making

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 132, P. 108000 - 108000

Published: Feb. 2, 2024

Language: Английский

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A large-scale multi-attribute group decision-making method with R-numbers and its application to hydrogen fuel cell logistics path selection

Complex & Intelligent Systems, Journal Year: 2024, Volume and Issue: 10(4), P. 5213 - 5260

Published: April 22, 2024

Abstract The large-scale multi-attribute group decision-making (LSMAGDM) problem has become a hot research topic in the field of decision science. An R-numbers (R-LSMAGDM) model is proposed to be constructed this paper based on advantages capturing risks. First, most commonly used clustering method, k -means, introduced determine sub-groups. Then, new sub-group weighting determination by considering size and entropy. Next, we also build an optimized consensus-reaching improving calculation method mean value. weighted Hamy (RNWHM) operator aggregate information. In addition, logarithmic percentage change-driven objective (LOPCOW) compromise ranking alternatives from distance ideal solution (CRADIS) are for attribute alternative ranking, respectively. Finally, effectiveness verified application example hydrogen fuel cell logistics path selection.

Language: Английский

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Multi-objective Optimization-Based Algorithm for Selecting the Optimal Path of Rural Multi-temperature Zone Cold Chain Dynamic Logistics Intermodal Transportation

International Journal of Computational Intelligence Systems, Journal Year: 2024, Volume and Issue: 17(1)

Published: Aug. 27, 2024

The road network in rural areas is complex and the infrastructure relatively backward. multi-temperature zone cold chain logistics involves agricultural products with different temperature requirements, which requires considering transportation cost, carbon emission refrigeration time cost of zones during path planning, thereby increasing difficulty planning. Therefore, a multi-objective optimization-based algorithm for selecting optimal dynamic intermodal proposed. Based on analysis collection distribution model based multimodal transportation, optimization constructed. This aims to minimize costs, maximize quality, while satisfying constraints such as transfer schedule times, number transport mode conversions, selection, continuity. To solve this model, an improved NSGA-II adopted, combines mutation operator, congestion distance calculation, C-W saving achieve solution. Additionally, ArcGIS software used implement shortest planning real networks. experimental results show that by road-rail combined adopting D1–D6–D10 path, it possible fresh from location A center at B, lowest Pareto fitness value. Furthermore, algorithm's effectiveness further verified completing end-of-life product task four refrigerated vehicles. study also finds extending or shortening latest service window customers, although leads decrease increase value objective function, has little impact average These findings provide new theoretical practical guidance selection logistics, significant application

Language: Английский

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Pythagorean cubic fuzzy multiple attributes group decision method for sustainable supply chain management

Applied Soft Computing, Journal Year: 2025, Volume and Issue: 172, P. 112802 - 112802

Published: Feb. 7, 2025

Language: Английский

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Impact of Technological Innovation on Employment Under Intuitionistic Fuzzy Einstein Aggregation Information with Z-Numbers

Studies in systems, decision and control, Journal Year: 2025, Volume and Issue: unknown, P. 177 - 195

Published: Jan. 1, 2025

Language: Английский

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Assessment of learning management systems based on Schweizer–Sklar picture fuzzy Maclaurin symmetric mean aggregation operators

Computational and Applied Mathematics, Journal Year: 2024, Volume and Issue: 43(7)

Published: Sept. 12, 2024

Language: Английский

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A multi-period intuitionistic fuzzy consensus reaching model for group decision making problem in social network

Complex & Intelligent Systems, Journal Year: 2024, Volume and Issue: 10(5), P. 7213 - 7234

Published: July 8, 2024

Abstract A new intuitionistic fuzzy consensus reaching model is developed with multi-period public opinions and expert evaluation values in social network environment. First, the are obtained by using crawler software sentiment analysis technology used to transform into decision matrix each period. Attribute weights calculated time attenuation factor changes opinion. Second, trust relationship modeled incomplete relationships completed Archimedean t-norm. The dynamic degree similarity degree. Third, a framework proposed for multiple-period making problem, which coordinates conflicts between experts through dual feedback paths. collective opinion scores of periods attribute from word frequency opinions. tourism attraction recommendation method illustrate method.

Language: Английский

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Utilizing Aggregation Operators Based On q-Rung Orthopair Neutrosophic Soft Sets and Their Applications in Multi-Attributes Decision Making Problems

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e35059 - e35059

Published: July 27, 2024

Neutrosophic sets provide greater versatility in dealing with a variety of uncertainties, including independent, partially and entirely dependent scenarios, which q-ROF soft cannot handle. Indeterminacy, on the other hand, is ignored completely or by sets. To address this issue, study offers unique novel concept as known q-RONSS, combines neutrosophic set set. This technique addresses vagueness using truth, indeterminacy, false membership degrees associated parametrization tool, condition that sum qth power be less than equal to one. In addition, outlines operational laws for suggested structure. The main purpose article define some averaging geometric operators based q-rung orthopair Furthermore, provides step-by-step method mathematical model techniques. solve MADM research proposes numerical example people selection specific position real estate business criteria. Finally, demonstrate proposed model's superiority authenticity, performs several analyses, sensitivity analysis, reliability influence various parameter "q" values alternatives ultimate ranking outcomes operators. A comparison current demonstrates validity structure theories its overcoming their limits offering more flexible adaptable framework. reviews findings consequences our research.

Language: Английский

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