Several extensions and generalizations of fuzzy sets have been introduced in the literature, for example, Atanassov's intuitionistic fuzzy sets, type 2 fuzzy sets, and fuzzy multisets. In this paper, we propose hesitant fuzzy sets. Although from a formal point of view, they can be seen as fuzzy multisets, we will show that their interpretation differs…
International Journal of Intelligent Systems Template
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About the International Journal of Intelligent Systems format
International Journal of Intelligent Systems is a peer-reviewed journal published by Wiley, covering Multi-Criteria Decision Making, Rough Sets and Fuzzy Logic, Fuzzy Systems and Optimization.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." International Journal of Intelligent Systems 12 (3): 45–58.
Formats any DOI in International Journal of Intelligent Systems style. No sign-up. |
| Publishes research in | Multi-Criteria Decision Making Rough Sets and Fuzzy Logic Fuzzy Systems and Optimization Fuzzy Logic and Control Systems Optimization and Mathematical Programming |
| ISSN | 0884-8173 |
| Citation impact (2-yr) | 4.77 |
| h-index | 133 |
| i10-index | 1,839 |
| Total citations | 107,648 |
| Article processing charge | $2,500 |
| Top institutions publishing here | Universidad de Granada |
| Journal website | onlinelibrary.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in International Journal of Intelligent Systems per year
Citation impact of International Journal of Intelligent Systems by publication year
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Most-cited papers in International Journal of Intelligent Systems
Recently, a new model based on Pythagorean fuzzy set (PFS) has been presented to manage the uncertainty in real-world decision-making problems. PFS has much stronger ability than intuitionistic fuzzy set to model such uncertainty. In this paper, we define some novel operational laws of PFSs and discuss their desirable properties. For the multicriteria decision-making problems…
We describe the idea of Pythagorean membership grades and the related idea of Pythagorean fuzzy subsets. We focus on the negation and its relationship to the Pythagorean theorem. We look at the basic set operations for the case of Pythagorean fuzzy subsets. A relationship is shown between Pythagorean membership grades and complex numbers. We specifically…
We consider multicriteria aggregation problems where, rather than requiring all the criteria be satisfied, we need only satisfy some portion of the criteria. The proportion of the critera required is specified in terms of a linguistic quantifier such as most. We use a fuzzy set representation of these linguistic quantifiers to obtain decision functions in…
Metaheuristics play a critical role in solving optimization problems, and most of them have been inspired by the collective intelligence of natural organisms in nature. This paper proposes a new metaheuristic algorithm inspired by gorilla troops' social intelligence in nature, called Artificial Gorilla Troops Optimizer (GTO). In this algorithm, gorillas' collective life is mathematically formulated,…