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A rule-based granular model development for interval-valued time series

期刊: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2021; 136 ()

As one type of time series, interval-valued time series (ITS) is encountered frequently in many fields such as finance, environment, agriculture and s......

N-vertical generated implications and their distributivities over t-norms and t-conorms

期刊: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2021; 136 ()

One of the methods to construct a new fuzzy implication from given ones is to transform the given implications and appropriately scale the variables. ......

Adversarial domain adaptation network for tumor image diagnosis

期刊: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2021; 135 ()

In medical fields it is very difficult and time-consuming to label samples. Only a small number of labeled samples or unlabeled samples are often enco......

Rule extraction based on linguistic-valued intuitionistic fuzzy layered concept lattice

期刊: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2021; 133 ()

As one of the research tools for data processing and knowledge discovery, concept lattice can effectively extract information. In daily life, due to t......

Conflict analysis based on three-way decision for triangular fuzzy information systems

期刊: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2021; 132 ()

Triangular fuzzy numbers (TFNs) can not only provide the range of fuzzy points, but contain the three most representative fuzzy points, which play an ......

A novel kernelized total Bregman divergence-based fuzzy clustering with local information for image segmentation

期刊: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2021; 136 ()

Kernel weighted fuzzy local information c-means clustering (KWFLICM) is of great significance in the field of fuzzy clustering. Nevertheless, it is se......

Information structures in a fuzzy set-valued information system based on granular computing

期刊: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2021; 134 ()

A fuzzy set-valued information system (FSVIS) refers to an information system (IS) whose information values are fuzzy sets. This article investigates ......

Feature selection and threshold method based on fuzzy joint mutual information

期刊: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2021; 132 ()

Improving classification performance is one of the main challenges in a variety of real-world applications. Unfortunately, classification models are s......

On (I-O, O)-fuzzy rough sets based on overlap functions

期刊: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2021; 132 ()

In the last past years, as a class of continuous binary aggregation functions, there are many scholars keeping a watchful focus on overlap functions f......

Trust recommendation mechanism-based consensus model for Pawlak conflict analysis decision making

期刊: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2021; 135 ()

Conflict analysis has become a hot issue in management science. In the context of conflict analysis, there are three attitudes for agents to describe ......

New measures of alliance and conflict for three-way conflict analysis

期刊: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2021; 132 ()

In the Pawlak model of conflict analysis, a rating of -1, 0, and +1 indicates that an agent is negative, neutral, and positive towards an issue. One d......

Constructing uninorms on bounded lattices by using additive generators

期刊: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2021; 136 ()

In this article, we present two methods to construct uninorms on bounded lattices by using additive generators. We also provide some examples for illu......

Three-way recommendation model based on shadowed set with uncertainty invariance

期刊: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2021; 135 ()

Recommender systems are an effective tool to resolve information overload by enabling the selection of the subsets of items from a universal set based......

A logical reasoning based decision making method for handling qualitative knowledge

期刊: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2021; 129 ()

Successful decision-making analysis needs to take both advantages of human analysts and computers, and human knowledge is usually expressed in a quali......

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