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African vultures optimization algorithm based Choquet fuzzy integral for global optimization and engineering design problems
Addressing complex optimization problems demands innovative solutions capable of navigating the interdependencies among variables, a reality often...
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An integrated MCDM approach for mobile app cost predictor based on DEMATEL extended with choquet integral
An integral part of develo** any mobile app is determining how much time and money will be needed to complete the task. Inaccuracy and imprecision...
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Learning to Rank Based on Choquet Integral: Application to Association Rules
Discovering relevant patterns for a particular user remains a challenging data mining task. One way to deal with this difficulty is to use...
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Adding Semantics to Fuzzy Similarity Measures Through the d-Choquet Integral
This paper introduces three classes of similarity measures for fuzzy description profiles, defined through the d-Choquet integral. Such classes of...
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Learning preference representations based on Choquet integrals for multicriteria decision making
This paper concerns preference elicitation and learning of decision models in the context of multicriteria decision making. We propose an approach to...
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A Decision Model Based on an Optimized Choquet Integral: Multifactor Prediction and Intelligent Agriculture Application
Smart farming aims at improving agriculture production by using artificial intelligence and smart devices and, in continuity, farming optimization...
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Study of the Instability of the Sign of the Nonadditivity Index in a Choquet Integral Model
This paper studies the instability of the sign of the nonadditivity index between criteria in a Choquet integral model. Nonadditivity is an essential...
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Norms and Discrete Choquet Integrals Induced by Submodular Fuzzy Measures: A Discussion
The Choquet integral is a powerful tool in multi-criteria decision making and decision under uncertainty. This paper studies the use of its discrete...
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A Methodological Approach Based on the Choquet Integral for Sustainable Valuations
Several methods and operational tools for assessing the sustainability and corresponding aspects can be identified in the current literature. At...
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A nonadditive rough set model for long-term clinical efficacy evaluation of chronic diseases in real-world settings
The pursuit of clinical effectiveness in real-world settings is at the core of clinical practice progression. In this study, we address a long-term...
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Necessary and Possible Interaction Between Criteria in a General Choquet Integral Model
This paper deals with interaction between criteria in a general Choquet integral model. When the preference of the Decision Maker (DM) contains no...
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Weighted and Choquet \(L^p\) distance representation of comparative dissimilarity relations on fuzzy description profiles
We consider comparative dissimilarity relations on pairs on fuzzy description profiles, the latter providing a fuzzy set-based representation of...
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Application of the Sugeno Integral in Fuzzy Rule-Based Classification
Fuzzy Rule-Based Classification System (FRBCS) is a well known technique to deal with classification problems. Recent studies have considered the...
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Aggregating efficient transformer and CNN networks using learnable fuzzy measure for breast tumor malignancy prediction in ultrasound images
Automated classification of tumors in breast ultrasound (BUS) using deep learning-based methods has achieved remarkable success recently. The initial...
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Incremental Preference Elicitation with Bipolar Choquet Integrals
Preference modeling and preference learning are crucial issues in multicriteria decision-making to formulate recommendations that are tailored to the...
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Explanation with the Winter Value: Efficient Computation for Hierarchical Choquet Integrals
Multi-Criteria Decision Aiding arises in many industrial applications where the user needs an explanation of the recommendation. We consider in...
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Dissimilarity Based Choquet Integrals
In this paper, in order to generalize the Choquet integral, we replace the difference between inputs in its definition by a restricted dissimilarity...
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A sentiment analysis driven method based on public and personal preferences with correlated attributes to select online doctors
This paper proposes a method to assist patients in finding the most appropriate doctor for online medical consultation. To do that, it constructs an...
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Representation and Interpretability of IE Integral Neural Networks
While there has been a lot of research attention given to neural networks and other black-box machine learning methods, recent works on aggregation...
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Necessary and Possible Interaction in a 2-Maxitive Sugeno Integral Model
This paper proposes and studies the notion of interaction between two criteria in a 2-maxitive Sugeno integral model. Within the framework of binary...