Adaptive weighted multi-view evidential clustering with feature preference

Knowledge-Based Systems, Journal Year: 2024, Volume and Issue: 294, P. 111770 - 111770

Published: April 6, 2024

Multi-view clustering has attracted substantial attention thanks to its ability integrate information from diverse views. However, the existing methods can only generate hard or fuzzy partitions, which cannot effectively represent uncertainty and imprecision when facing objects in overlapping clusters, thus increasing risk of error. To solve above problems, this paper, we propose an adaptive weighted multi-view evidential (WMVEC) method based on theory belief functions characterize cluster assignment. Technically, view weight assignments credal partition between prototypes into a joint learning framework. The offers more comprehensive insight data by enabling be associated with not singleton clusters but also subsets these (termed meta-clusters) empty set, represents noise cluster. avoid interference irrelevant redundant features, further present feature preference (WMVEC-FP) learn importance each under different We suggest objective WMVEC WMVEC-FP design alternating optimization schemes obtain optimal solutions, respectively. Through extensive array experiments, it been demonstrated that our proposed outperform other related state-of-the-art terms their advantages overall effectiveness.

Language: Английский

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Decision algorithm for picture fuzzy sets and Aczel Alsina aggregation operators based on unknown degree of wights

Heliyon, Journal Year: 2024, Volume and Issue: 10(6), P. e27548 - e27548

Published: March 1, 2024

Aggregation operators (AOs) are well-known and efficient mathematical tools that utilized to overcome the impact of imprecise vague information during aggregation process. The theoretical concepts Aczel Alsina expressions an extension triangular norms become a hot research topic in environment fuzzy framework. power provide smooth approximation used mitigate influence redundant or insufficient on attributes criteria. Some robust approaches developed by combining two different theories, like tools. This article aims explore theory picture sets (PFSs), extended version sets, intuitionistic sets. operations also present light environment. We established class new methodologies information, including weighted average (PFAAPWA) ordered (PFAAPOWA) operators. appropriate approach geometric (PFAAPWG) (PFAAPOWG) Notable properties characteristics proposed demonstrated. Our invented not only aggregate complicated but can clearly define interrelationships among several arguments. Moreover, we establish algorithm for multi-attribute group decision-making (MAGDM) problem handle human opinions. Finally, study experimental case evaluate optimal option from available options. To reveal consistency effectiveness approaches, changing various parametric values comparative comparing results existing approaches.

Language: Английский

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Evaluating the effect of the COVID-19 pandemic on medical waste disposal using preference selection index with CRADIS in a fuzzy environment

Heliyon, Journal Year: 2024, Volume and Issue: 10(5), P. e26997 - e26997

Published: March 1, 2024

The COVID-19 pandemic has caused a surge in essential medical supplies usage, leading to notable increase waste generation. Consequently, extensive research focused on sustainable disposal methods handle used equipment safely. Given the necessity evaluate these considering qualitative and quantitative criteria, this falls within realm of multi-criteria decision-making (MCDM). This study introduces framework for selecting most suitable treatment methods, taking into account economic, technological, environmental, social aspects. Sixteen criteria were assessed using Fuzzy Preference Selection Index (F-PSI) determine optimal approach. Additionally, Compromise Ranking Alternatives from Distance Ideal Solution (F-CRADIS) method was employed nine technologies disposal. Notably, disinfection efficiency emerged as crucial criterion, with autoclaving identified preferred treatment. A practical case conducted Sivas, Turkey, validates feasibility strategies. Multiple sensitivity analyses performed ensure stability reliability proposed

Language: Английский

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A hybrid approach based on magnitude-based fuzzy analytic hierarchy process for estimating sustainable urban transport solutions

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 137, P. 109112 - 109112

Published: Aug. 16, 2024

Transport systems are pivotal in sustainable development, profoundly impacting social, environmental, and economic sustainability urban settings. Integrating decision support becomes imperative to underscore the necessity for change facilitate informed policy decisions based on current conditions. This study evaluates Budapest, Hungary's public transport system foster sustainability. Experts transportation field Budapest were engaged as evaluators. The employs newly developed Magnitude Based Fuzzy Analytic Hierarchy Process, chosen its accuracy computational efficiency compared existing methods. obtained results align with those from Modified Logarithmic Least Squares method, affirming reliability. Comparative sensitivity analyses validate, ensure consistency, test robustness of proposed model findings. concludes that introducing new buses emerges most viable solution enhancing service quality system. adopted a real dataset, application evaluation, recommendation an optimal offer insights into development.

Language: Английский

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Evaluating municipal solid waste management with a confidence level-based decision-making approach in q-rung orthopair picture fuzzy environment

Journal of Industrial Information Integration, Journal Year: 2024, Volume and Issue: unknown, P. 100708 - 100708

Published: Oct. 1, 2024

Language: Английский

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Fuzzy Einstein-based decision-making model for the evaluation of site selection criteria of floating photovoltaic system

Ocean Engineering, Journal Year: 2024, Volume and Issue: 301, P. 117521 - 117521

Published: March 26, 2024

Language: Английский

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Novel Distance Measures of q-Rung Orthopair Fuzzy Sets and Their Applications

Symmetry, Journal Year: 2024, Volume and Issue: 16(5), P. 574 - 574

Published: May 7, 2024

The q-rung orthopair fuzzy sets (q-ROFSs), a novel concept for processing vague information, offer more potent and all-encompassing method compared to traditional sets, intuitionistic Pythagorean sets. inclusion of the parameter q allows capture broader range uncertainty information. In this paper, we present two distance measures q-ROFSs inspired by Jensen–Shannon divergence, called DJS_2D DJS_3D, analyze some properties they satisfy, such as non-degeneracy, symmetry, boundedness, triangular inequality. Then, normalized measures, DJS_2D˜ DJS_3D˜, are proposed verify their rationality through numerical experiments. Finally, apply practical scenarios, including pattern recognition multicriteria decision-making, results demonstrate effectiveness measures.

Language: Английский

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The use of AI to uncover the supply chain dynamics of the primary sector: Building resilience in the food supply chain

Structural Change and Economic Dynamics, Journal Year: 2024, Volume and Issue: 70, P. 544 - 566

Published: May 16, 2024

Despite the fact that artificial intelligence (AI) techniques are increasingly influencing economic and societal dynamics, certain aspects of AI's role in structural change, such as enhancing resilience supply chains, have not been thoroughly explored academic research. Thus, we first identify thirteen variables influential shaping transformation food chains. These chosen based on financial, technological, social, organizational challenges to building within chain. Then, generate an interval-valued T-spherical fuzzy CoCoSo'B model uncover AI chain dynamics change sector. After that, explore alleviating factors through generated decision expert interview. The result also reveals advantageAd2"Enhancing information sharing among nodes" (1.983) has most potential influence adoption behavior. outcomes present study can provide a new decision-support technique for uncovering effects

Language: Английский

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Evaluation of shared micro-mobility systems for sustainable cities by using a consensus-based Fermatean fuzzy multiple objective optimization and full multiplicative form

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 134, P. 108662 - 108662

Published: May 28, 2024

Language: Английский

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Decoding rail derailments: Unraveling the weighted factors influencing safety and sustainability using the best-worst method

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102539 - 102539

Published: July 9, 2024

The rail network is essential for sustainable transportation, offering various advantages such as reduced greenhouse gas emissions and congestion relief. However, ensuring safety within the crucial its long-term viability public acceptance. Derailment incidents have significant implications safety, efficiency, sustainability. This study employs Best-Worst Method (BWM) to identify weigh parameters affecting derailment incidents. research methodology involved conducting an extensive literature review extract influential parameters, which were subsequently classified. Additionally, a rigorous data collection process was undertaken ensure reliability of findings. BWM then applied, utilizing expertise five carefully selected domain experts who met specific selection criteria based on their experience reputation in field railway safety. expert panel provided valuable insights determine relative importance identified parameters. calculated weights revealed criticality factors fractures lines, illegal width, unauthorized locomotive speed, defects wagon wheels. Conversely, falling cargo train parts, improper load distribution, subsidence line had relatively lesser influence. results this offer information decision-makers stakeholders industry, facilitating resource allocation implementation targeted strategies enhance

Language: Английский

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