Results 11 to 20 of about 7,473 (162)
Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Toward a Wider View on Their Relationship [PDF]
IEEE Transactions on Fuzzy Systems, 2015 In this paper, we will present a wider view on the relationship between interval-valued fuzzy sets and interval type- 2 fuzzy sets where we will show that interval-valued fuzzy sets are a particular case of the interval type-2 fuzzy sets. For this reason, both concepts should be treated in a different way. In addition, the view
Sola, Humberto Bustince +5 more
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Uncertain project network analysis with fuzzy–PERT and Interval Type–2 fuzzy activity durations
Heliyon, 2023 Project network analysis is often subject to different uncertainties that can occur in real world scenarios. These uncertainties are not always measurable which makes its statistical estimation hard, so the use of third party information coming from ...
Juan Carlos Figueroa–García +2 more
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Applied Sciences, 2021 In this research, we introduce a classification procedure based on rule induction and fuzzy reasoning. The classifier generalizes attribute information to handle uncertainty, which often occurs in real data.
Martin Tabakov +3 more
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Review of Recent Type-2 Fuzzy Image Processing Applications
Information, 2017 This paper presents a literature review of applications using type-2 fuzzy systems in the area of image processing. Over the last years, there has been a significant increase in research on higher-order forms of fuzzy logic; in particular, the use of ...
Oscar Castillo +3 more
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Interval type-2 fuzzy sets in supplier selection [PDF]
2014 14th UK Workshop on Computational Intelligence (UKCI), 2014 Selection of an appropriate supplier is a crucial and challenging task in the effective management of a supply chain. This study introduces a model for solving the supplier selection problem using interval type-2 fuzzy sets. Moreover, the influence of the membership function shape on the results obtained from the model has been investigated on a real ...
Turk, Seda, John, Robert, Özcan, Ender
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A Spatial Fuzzy Co-Location Pattern Mining Method Based on Interval Type-2 Fuzzy Sets
Applied Sciences, 2022 The goal of spatial co-location pattern mining is to find subsets of spatial features whose instances are often neighbors in a geographical space. In many practical cases, instances of spatial features contain not only spatial location information but ...
Jinyu Guo, Lizhen Wang
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Multi-Criteria and Multi-Stage Facility Location Selection under Interval Type-2 Fuzzy Environment: A Case Study for a Cement Factory [PDF]
International Journal of Computational Intelligence Systems, 2015 The study proposes a comprehensive and systematic approach for multi-criteria and multi-stage facility location selection problem. To handle with high and more uncertainty in the evaluation and selection processes, the problem is solved by using multi ...
Ferhan Cebi, İrem Otay
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Properties and Structure of Type-2 Neutrosophic Control Point Relation [PDF]
Neutrosophic Sets and SystemsIn recent decades, practitioners and scholars from several fields have increasingly used fuzzy sets as a fundamental tool for characterizing uncertainty data.
Siti Nur Idara Rosli +1 more
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Journal of Applied Mathematics, 2012 In recent decades, several types of sets, such as fuzzy sets, interval-valued fuzzy sets, intuitionistic fuzzy sets, interval-valued intuitionistic fuzzy sets, type 2 fuzzy sets, type 𝑛 fuzzy sets, and hesitant fuzzy sets, have been introduced and ...
Bin Zhu, Zeshui Xu, Meimei Xia
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A fuzzy linear regression model for interval type-2 fuzzy sets
2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS), 2012 This paper presents a regression model for interval type-2 fuzzy sets based on the least squares estimation technique. Unknown coefficients are assumed to be triangular fuzzy numbers. The basic idea is to determine aggregation intervals for type-1 fuzzy sets, membership functions of whose are low membership function and upper membership function of ...
O. Poleshchuk, E.Komarov
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