Decision-making for solar panel selection using Sugeno-Weber triangular norm-based on q-rung orthopair fuzzy information

Frontiers in Energy Research, Год журнала: 2024, Номер 11

Опубликована: Янв. 16, 2024

Solar power is an alternative energy derived from the sun. more environmentally friendly and sustainable than burning fossil fuels which releases harmful greenhouse gas emissions. Therefore, this study aims to evaluate a reliable solar panel based on certain characteristics by incorporating theory of decision-making process. To serve goal, discusses well-known aggregation model q-rung orthopair fuzzy set, broader flexible environment sets intuitionistic used handle unpredictable information human opinions. The key components article are demonstrate some realistic operations Sugeno–Weber triangular norms considering information. These provide authentic estimated during We developed class new operators using system, including weighted average geometric operators. Some special cases also demonstrated show compatibility proposed methodologies. An innovative approach multi-attribute problem utilized resolve different real-life applications various criteria or attributes. intensity applicability approaches, we explored numerical example for efficient selection Furthermore, presented comprehensive comparison technique compare findings existing methods with approaches. Finally, research work summarized, future prospects discussed.

Язык: Английский

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

Heliyon, Год журнала: 2024, Номер 10(6), С. e27548 - e27548

Опубликована: Март 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.

Язык: Английский

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Comprehensive evaluation of rural regional integrated clean energy systems considering multi-subject interest coordination with pythagorean fuzzy information

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 138, С. 109342 - 109342

Опубликована: Сен. 23, 2024

Язык: Английский

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Evaluation and selection of E-learning websites using intuitionistic fuzzy confidence level based Dombi aggregation operators with unknown weight information

Applied Soft Computing, Год журнала: 2024, Номер 163, С. 111850 - 111850

Опубликована: Июнь 15, 2024

Язык: Английский

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Lifecycle Risk Assessment for Steel Cargo Vessel Sinkings: An Interpretive Structural Modeling and Fuzzy Bayesian Network Approach

Journal of Marine Science and Engineering, Год журнала: 2025, Номер 13(1), С. 165 - 165

Опубликована: Янв. 18, 2025

Steel cargo vessel sinking accidents (SCVSA) threaten maritime safety and disrupt global steel supply chains. This study integrates interpretive structural modeling (ISM) fuzzy Bayesian networks (FBN) to evaluate SCVSA risks across the incident lifecycle. ISM identifies hierarchical relationships among multifaceted risk factors. FBN assesses lifecycle using scoring, modular nodes, a structure, with muti-source data drawn from accident reports, expert opinions, research studies. Experts estimate probabilities based on observations causal scenarios involving vessels at Shanghai Port. The ISM–FBN framework visualizes factors incorporates uncertainty in through updates, probability learning. approach provides robust adaptable tool for assessing risks, advancing assessment methodologies. Key findings identify advanced age, severe weather sea conditions, inadequate regulatory oversight as primary root causes. Poor loading stowage practices are direct contributors. Intermediate deeper surface layers flow shipping companies crew further environmental conditions. Multi-stage include emergency responses improper securing. To mitigate these actionable insights provided, including fleet modernization, enhanced compliance, training, improved preparedness.

Язык: Английский

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Decision algorithm for educational institute selection with spherical fuzzy heronian mean operators and Aczel-Alsina triangular norm

Heliyon, Год журнала: 2024, Номер 10(7), С. e28383 - e28383

Опубликована: Март 26, 2024

This article presents a novel study of spherical fuzzy sets (SFSs), more comprehensive framework intuitionistic and picture sets. The SFS allows the decision-makers (DMs) to cope with complicated insufficient information during aggregation process. Heronian mean (HrM) model theory is also utilized express correlation among different input arguments or characteristics. Recently, Aczel Alsina triangular norms gained lot attention from various research scholars has many capabilities provide smooth approximations decision analysis. In this article, we developed some appropriate operations t-norms t-conorms in light (SF) information. We develop new mathematical ways look at SF data keep clarity sufficient These are (SFAAHrM) weighted (SFAAWHrM) operators. Furthermore, present list strategies based on operations, such as geometric (SFAAGHrM) (SFAAWGHrM) Some notable properties characterized show validity effectiveness our derived approaches. Considering strategies, an algorithm for multiple attribute decision-making (MADM) problem established resolve real-life applications. A numerical example compatibility approaches provides solid mechanism improve performance educational institutes. comparison technique demonstrated applicability consistency diagnosed by contrasting findings pioneered existing methodologies.

Язык: Английский

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Intuitionistic fuzzy Sugeno-Weber decision framework for sustainable digital security assessment

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 137, С. 109085 - 109085

Опубликована: Авг. 8, 2024

Язык: Английский

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p,q-Quasirung orthopair fuzzy multi-criteria group decision-making algorithm based on generalized Dombi aggregation operators

Journal of Applied Mathematics and Computing, Год журнала: 2024, Номер unknown

Опубликована: Сен. 12, 2024

Язык: Английский

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Synergy of machine learning and the Einstein Choquet integral with LOPCOW and fuzzy measures for sustainable solid waste management

AIMS Mathematics, Год журнала: 2025, Номер 10(1), С. 460 - 498

Опубликована: Янв. 1, 2025

<p>Solid waste management (SWM) protects public health, the environment, and limited resources in densely populated urbanized countries such as Singapore. This work presents an advanced framework for optimizing SWM using mathematical models decision-making techniques, including circular $ q $-rung orthopair fuzzy set (C$ $-ROFS) data, combined with Choquet integral (CI) logarithmic percentage change-driven objective weighting (LOPCOW) methods, enhanced by aggregation operators (AOs) Einstein weighted averaging $-ROFECIWA) geometric $-ROFECIWG) operators. By conducting a systematic evaluation, these methods classified different alternatives to SWM, evaluating them according criteria their environmental impact, cost-effectiveness, reduction efficiency, feasibility of implementation, health safety, acceptance. The C$ $-ROFECIWA $-ROFECIWG perform better than previous approaches effective multifaceted dynamic scenarios. comparison study demonstrates that integration LOPCOW offers conclusions are more reliable sustainable. conducted Singapore successfully finds most feasible emphasizes possibility implementing environmentally sustainable practices urban environment. research practical insights policymakers need improve enhance various environments.</p>

Язык: Английский

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Artificial intelligence-based intelligent computing using circular q-rung orthopair fuzzy information aggregation

AIMS Mathematics, Год журнала: 2025, Номер 10(2), С. 3062 - 3094

Опубликована: Янв. 1, 2025

Язык: Английский

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