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A novel group decision-making method for interval-valued q-rung dual hesitant fuzzy information using extended power average operator and Frank operations
This paper advances the field of multi-attribute group decision making (MAGDM) by proposing a novel framework based on interval-valued q-rung dual...
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IFS-IBA Logical Aggregation with Frank t-norms
In this paper, we present a novel aggregation method for intuitionistic fuzzy sets (IFS) based on interpolative Boolean algebra (IBA) and logical...
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Generalized Maclaurin symmetric mean aggregation operators based on Archimedean t-norm of the intuitionistic fuzzy soft set information
Intuitionistic fuzzy soft set (IFSS) accommodates more uncertainties within the information by considering the parameterization feature than the...
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Some new hybrid hesitant fuzzy weighted aggregation operators based on Archimedean and Dombi operations for multi-attribute decision making
Hesitant fuzzy set (HFS) is more flexible and general tool in comparison to fuzzy set theory. There is not yet reported an aggregation operator (AO)...
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Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm
This paper extends Archimedean t-norm and t-conorm to aggregate the dual hesitant fuzzy linguistic information. Firstly, some basic concepts of dual...
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T-norms driven loss functions for machine learning
Injecting prior knowledge into the learning process of a neural architecture is one of the main challenges currently faced by the artificial...
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An integrated group decision-making framework for assessing S3PRLPs based on MULTIMOORA-WASPAS with q-rung orthopair fuzzy information
Sustainable third-party reverse logistics has gradually risen to prominence as a component of contemporary commercial development as a result of the...
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A Novel Multi-attribute Group Decision-Making Method Based on q-Rung Dual Hesitant Fuzzy Information and Extended Power Average Operators
Multi-attribute group decision-making (MAGDM) is one of the most active research fields in modern social cognition and decision science theory. An...
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Refining neural network predictions using background knowledge
Recent work has shown learning systems can use logical background knowledge to compensate for a lack of labeled training data. Many methods work by...
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Advanced IDSS Topics and Applications
In this chapter, some advanced topics in IDSSs and a specific application in the IDSS field are presented. The advanced topics analyzed are the...
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Splitting Rules for Monotone Fuzzy Decision Trees
This paper considers the problem of building monotone fuzzy decision trees when the attributes and the labeling function are in the form of...
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Enhancing learning environments with IoT: a novel decision-making approach using probabilistic linguistic T-spherical fuzzy set
The Internet of Things is a system of networked devices that can gather, process, and share data through the Internet. The Internet of Things has...
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Interval Neutrosophic Einstein Prioritized Normalized Weighted Geometric Bonferroni Mean Operator and its Application to Multicriteria Decision making
In a real or practical situation, there often exist different priority levels and interactions among the criteria of the MCDM problems. This paper...
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Hesitant Fuzzy Set
In this chapter, we first introduce the core concept of this book, known as the concept of hesitant fuzzy set. By providing the reader with the next...
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Multi-attribute group decision making under probabilistic hesitant fuzzy environment with application to evaluate the transformation efficiency
Hesitant fuzzy sets were introduced by Torra to efficiently address situations in which the membership degree of an element in a set is expressed by...
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Subjective Expert Evaluations in the Model-Theoretic Representation of Object Domain Knowledge
Often, evaluative knowledge about the object area is formulated not only as an objective (statistical) probability but also as a subjective (expert)...
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Complex q-rung orthopair fuzzy 2-tuple linguistic group decision-making framework with Muirhead mean operators
In this study, we aim to develop a method for solving multi-attribute group decision-making (MAGDM) problems with complex q -rung orthopair fuzzy...
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Matrix games with linguistic intuitionistic fuzzy Payoffs : Basic results and solution methods
Game theory has found successful applications in different areas to handle competitive situations among different persons or organizations. Several...
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Reasoning with belief functions
Belief functions are fascinating mathematical objects, but most of all they are useful tools designed to achieve a more natural, proper description...
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Nullnorms and T-Operators on Bounded Lattices: Coincidence and Differences
T-operators were defined on [0, 1] by Mas et al. in 1999. In 2001, Calvo et al. introduced the notion of nullnorms, also on [0, 1]. Both of these...