Results 41 to 50 of about 735,902 (203)

Zero‐Shot‐Motivated Intelligent Fault Diagnosis: A Survey of Methods, Applications, and Future Directions

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
ABSTRACT Conventional fault diagnosis (FD) methods depend heavily on model precision and data quality, while traditional machine learning and deep learning pipelines typically require large volumes of labelled data. The development of transfer learning has opened an alternative route for learning‐based FD.
Zonggui Sui, Ping Wang, Hasmat Malik, Khadiza Akter   +3 more
wiley   +1 more source

Modelo de apoio à decisão multicritério para terceirização de atividades produtivas baseado no método SMARTS Support model for multicriteria decision to outsource productive activities based on SMARTS method

Production, 2009
Este artigo apresenta um modelo decisório para estruturar o dilema entre terceirizar e executar, com recursos próprios, atividades produtivas dentro de uma organização.
Último de Valois, Adiel Teixeira de Almeida   +1 more
doaj   +1 more source

An Efficient Data Analysis Framework for Online Security Processing

Journal of Computer Networks and Communications, 2021
Industrial cloud security and internet of things security represent the most important research directions of cyberspace security. Most existing studies on traditional cloud data security analysis were focused on inspecting techniques for block storage ...
Jun Li, Yanzhao Liu
doaj   +1 more source

Leveraging Explainable AI to Mitigate Bias in Financial Decision‐Making: A Framework for Understanding and Correcting Algorithmic Discrimination With Scaled Priority Feature Vector

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Explainable artificial intelligence (XAI) is being actively pursued to promote the transparency and fairness of AI‐based financial decision‐making systems, such as credit scoring systems, loan approval systems, fraud detection systems, and risk assessment systems. However, machine learning algorithms developed based on past financial information can be
RamMohan Reddy Kundavaram, Abhishake Reddy Onteddu, Rahul Reddy Bandhela, Vivek Bhardwaj   +3 more
wiley   +1 more source

Development of the multi-attribute Adolescent Health Utility Measure (AHUM)

Health and Quality of Life Outcomes, 2012
Objective Obtain utilities (preferences) for a generalizable set of health states experienced by older children and adolescents who receive therapy for chronic health conditions. Methods A health state classification system, the Adolescent Health Utility
Beusterien Kathleen M, Yeung Jean-Ezra, Pang Francis, Brazier John   +3 more
doaj   +1 more source

Multi-year maintenance planning framework using multi-attribute utility theory and genetic algorithms

European Transport Research Review, 2020
This paper introduces a comprehensive framework for the development of optimal multi-year maintenance plans for a large number of bridges. A maintenance plan is said to be optimal when, within the given budget, a maximum number of bridges can be ...
Zaharah Allah Bukhsh, Irina Stipanovic, Andre G. Doree   +2 more
doaj   +1 more source

AHP‐Based Consensus Model for Probabilistic Hesitant Fuzzy Preference Relations With Application of Sustainable Green Manufacturing Technology Assessment

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Multicriteria group decision‐making (MCGDM) under epistemic uncertainty requires robust systems that can manage both experts’ doubt and their confidence in results. The representation of judgments through probabilistic hesitant fuzzy preference relations (PHFPRs) provides detailed information, yet several consensus models rely on logarithmic ...
Nighat Rehman, Rukhshanda Anjum, Atiq ur Rehman, Muhammad Umar Farooq, Mohamed Abubakar Fiidow, Musavarah Sarwar   +5 more
wiley   +1 more source

Cumulative Prospect Theory for Parametric and Multiattribute Utilities [PDF]

Mathematics of Operations Research, 2001
Different attitudes towards gains and losses are a prominent feature of cumulative prospect theory for decision under uncertainty. In particular, decision weights for uncertain events can depend on whether the events involve gains or losses, and the shape of the utility function can reveal loss aversion.
openaire   +4 more sources

Heterogeneous Fuzzy Group Decision‐Making Model With Mixed Criteria

Advances in Fuzzy Systems, Volume 2026, Issue 1, 2026.
Organizational decisions, often originating from diverse groups of managers with varying criteria, encounter challenges due to the inherent ambiguity in human judgments, particularly those involving preferences. This paper proposes a nuanced solution using a heterogeneous fuzzy group decision‐making method, accommodating diverse criteria based on real ...
Akbar Karimi, Mohammad Anisseh, Farideh Sobhanifard, Yasar Becerikli   +3 more
wiley   +1 more source

Ranking Alternatives on the Basis of a Dominance Intensity Measure [PDF]

, 2010
The additive multi-attribute utility model is widely used within MultiAttribute Utility Theory (MAUT), demanding all the information describing the decision-making situation. However, these information requirements can obviously be far too strict in many
Jiménez Martín, Antonio, Moreno Díaz, Arminda, Aguayo Garcia, Ernesto Aaron, Mateos Caballero, Alfonso   +3 more
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