AI-driven energy management system based on hesitant bipolar complex fuzzy Hamacher power aggregation operators and their applications in MADM by Walid Emam, Hafiz Muhammad Waqas, Tahir Mahmood, Ubaid ur Rehman, Dragan Pamucar

“…These systems support real-time analysis of data, predictive analytics, and automatic adjustments to improve energy efficiency, reduce expenses, and lower environmental footprints. …”
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Computing ecosystem risk hotspots: A mediterranean case study by Gianpaolo Coro, Laura Pavirani, Anton Ellenbroek

“…Our results agreed with an alternative Fuzzy C-means-based method (with a 90% to 96% overlap over the years) and a Bayesian regression model (∼80% overlap).Our Mediterranean risk maps can facilitate the development of management and monitoring strategies, supporting the sustainable development and resilience of coastal zones, and can act as prior knowledge for ecosystem models and spatial plans.…”
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An Upside-Down Logic-Based Neutrosophic Methodology: Assessment of Online Marketing Effectiveness in E-Commerce Enterprises by Yantao Bu

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Improving maintenance efficiency and controlling costs in healthcare institutions through advanced analytical method by Kun Li, Lei Su, Jing Cheng, Yinyan Sun, Xinghua Ma

“…The methodology integrates Fault Tree Analysis (FTA) with the Fuzzy Analytic Hierarchy Process (FAHP) to combine expert judgments and address uncertainties in failure data. …”
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A Hybrid MAGDM Approach of Neutrosophic TOPSIS LINMAP method for developing Enterprise Selection Criteria by G.Tamilarasi, S.Paulraj, M.Sivanandha Saraswathy, Thanuja T S

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Hybrid machine learning techniques for knowledge extraction in communication networks and advanced decision based complex q-Rung orthopair fuzzy frameworks by Hushuang Zeng, Yonghua Zhang

“…To show the validation and compatibility of diagnosed approaches, we also discussed an experimental case study to assess some advanced communication techniques using developed mathematical approaches and a decision analysis system. …”
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An extended CoCoSo method under (p–q) rung orthopair fuzzy environment for multi-criteria decision-making applications by Asghar Khan, Omar Barukab, Young Bae Jun, Sher Afzal Khan, Umair Ahmad, Ali Muhammad Ali Rushdi

“…Abstract The management of health care waste (HCW) is a major environmental and public health challenge, especially in developing nations. A complex multi-criteria decision analysis problem encompassing both qualitative and quantitative aspects is the choice of the best technology for HCW disposal. …”
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Fuzzy Modeling to Predict Severely Depressed Left Ventricular Ejection Fraction following Admission to the Intensive Care Unit Using Clinical Physiology by Rúben Duarte M. A. Pereira, Cátia M. Salgado, Andre Dejam, Shane R. Reti, Susana M. Vieira, João M. C. Sousa, Leo A. Celi, Stan N. Finkelstein

“…We extracted clinical physiological variables derived from ICU monitoring and available within the MIMIC II database and developed a fuzzy model using sequential feature selection and compared it with the conventional logistic regression (LR) model. …”
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ECOLOGICAL RESILIENCE ASSESSMENT FEATURES OF NATURAL-INDUSTRIAL SYSTEMS BY INDEX-BASED METHODS USING SOFT COMPUTING by A.V. Masloboev

“…The unified methodological framework of our study includes the fundamentals of safety sciences, risk management methodology, and the stateof- the-art resilience concept of complex systems, as currently developing research area. The proposed approach to a multilevel integral estimation of environmental safety of territories is based on the combined use of index-based methods for quantitative and qualitative analysis of heterogeneous indicators of ecosystem resilience and hierarchical aggregation of the assessments. …”

Evaluating challenges of implementing Industry 5.0 in the renewable energy supply chain toward sustainability: A comparative analysis using decision-making approaches by Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri

“…It proposes an integrated decision framework including the Fuzzy Stepwise Weight Assessment Ratio Analysis (F-SWARA), and Fuzzy Combined Compromise Solution (F-CoCoSo) methods. …”
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Gender Identification Using Multilayer Perceptron (MLP) Neural Network, Genetic Neural Network and Adaptive Neuro-Fuzzy Inference System (ANFIS) Network by Evanthia Kokkinaki

“…The demonstrated high accuracy achieved in the analysis of Oregon Graduate Institute data, characterized by its multilingual phone data and low signal-to-noise ratio, indicates the robustness of the suggested approaches in handling variations in speaker language and the suboptimal quality of speech data. …”
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Comparison of Fuzzy-AHP and ANP Decision Making Methods to Assess the Ecological Capability of Ecotourism Application (Case study: Dehloran National Natural Monuments) by Mohsen Tavakoli

“…In the studies of land capability and land use planning for sustainable development, data and maps of various ecological, economic, social and infrastructural parameters are needed for the identification, preparation, analysis and evaluation of them with traditional methods, especially when it comes to multi-purpose use, it is very complicated and time consuming. …”
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ClioMD: An artificial intelligence model for ciliopathies by Ergören Mahmut Çerkez, Senturk Niyazi, Ali Manal Salah B., Özcelik İlkem Özce, Erol Kübra Damla, Temel Sehime Gulsun, Dundar Munis

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An intelligent assessment of factors affecting new generations in the era of the internet and new media using intuitionistic hesitant fuzzy sugeno-weber aggregation operators by Yuxin Li, Yao Liu, Dan Zhao

“…Almost every area of life involves some degree of uncertainty and fuzziness. The best method for practically reducing ambiguity when determining the best option from fuzzy and uncertain data is multi-attribute decision-making (MADM). …”
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An overview of pink eye infection to evaluate its medications: group decision-making approach with 2-tuple linguistic T-spherical fuzzy WASPAS method by M. Waheed Rasheed, Hind Y. Saleh, Areen A. Salih, Jahangeer Karamat, Muhammad Bilal

“…The constructed multi-attribute group decision-making framework includes the following scenario: (1) In contrast to other types of fuzzy sets, the 2-tuple linguistic T-spherical fuzzy set (2TLT-SFS) looks to be a potent tool for dealing with informational inconsistencies in decision-making scenarios; (2) in order to render the 2TLT-SF accumulation details processing more flexible, the addition, multiplication, scalar multiplication, and exponential laws that are predicated on the Schweizer-Sklar collection of t-conorms and t-norms are described; (3) the Schweizer-Sklar weighted average and Schweizer-Sklar weighted geometric operators are then put forward employing the aforementioned operations to combine the data; (4) subsequently, using newly developed operators (referred to as 2TLT-SF Schweizer-Sklar weighted average and 2TLT-SF Schweizer-Sklar weighted geometric), this work enhances the conventional weighted aggregated sum product assessment (WASPAS) approach. …”
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Construction of time series prediction and dynamic evaluation model for environmental factors in pregnant sow houses in winter by Xuehan Li, Jia Shen, Xiaoping Yang, Pengcheng Nie, Yiming Li, Zhe Li, Yawen Tan, Ziyi Li

“…This paper proposes a multi-step multi-task model based on Bidirectional Long Short-Term Memory (BiLSTM) networks and Attention mechanisms, integrated with a subjective-objective fuzzy comprehensive evaluation method, to develop a winter pigpen forecasting-evaluation model. …”
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Sustainable supply chain system for defective products with uncertain resources and environmental impacts by S. Priyan, R. Udayakumar

“…The aim of the study is to outline potential risks in the supply chain and investigate their impact, especially the effects of uncertain carbon data, on supply chain strategies. To address the uncertainty of carbon parameters throughout the system process, we apply fuzzification to all carbon factors, treating them as intuitionistic triangular fuzzy numbers. …”
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A novel muirhead mean operators based decision algorithm with applications in the orientation of basketball players using circular q-rung orthopair fuzzy information by Changyou Wang

“…The proposed evaluation method uses an advanced decision algorithm based on circular q-rung orthopair fuzzy sets (Cq-ROFS), representing an evolved extension of fuzzy set theory to handle uncertain and complex data from player evaluation. …”
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Computationally assisted screening and design of cell-interactive peptides by a cell-based assay using peptide arrays and a fuzzy neural network algorithm by Chiaki Kaga, Mina Okochi, Yasuyuki Tomita, Ryuji Kato, Hiroyuki Honda

“…Starting with the screening data obtained from a limited, random 5-mer library (643 sequences), a rule regarding structural characteristics of cell-adhesion peptides was extracted by fuzzy neural network (FNN) analysis. …”
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An extended TOPSIS technique based on correlation coefficient for interval-valued q-rung orthopair fuzzy hypersoft set in multi-attribute group decision-making by Rana Muhammad Zulqarnain, Imran Siddique, Sameh Askar, Ahmad M. Alshamrani, Dragan Pamucar, Vladimir Simic

“…Although generating data for analytical purposes presents an apparent hurdle, the data obtained may present hurdles in its interpretation. …”
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