Type-2 Fuzzy ANP and TOPSIS methods based on trapezoid Fuzzy number with a new metric
IJAIN (International Journal of Advances in Intelligent Informatics)Modeling and linguistic representation in the form Interval Type-2 Fuzzy have better accuracy than Type-1 Fuzzy. The type-2 fuzzy set involves more uncertainty than the type-1 fuzzy set.
Yeni Kustiyahningsih +3 more
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A General Framework for Representing, Reasoning and Querying with Annotated Semantic Web Data
, 2011 We describe a generic framework for representing and reasoning with annotated Semantic Web data, a task becoming more important with the recent increased amount of inconsistent and non-reliable meta-data on the web.
Lopes, Nuno +3 more
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A Multi-Operator Framework of Triangular Interval Type-2 Fuzzy Prioritized Aggregation in Expert Evaluation [PDF]
International Journal of Mathematical, Engineering and Management SciencesWhen many people and many factors are difficult due to uncertainty and ambiguous information, to make decisions in real situations. To address this, Fuzzy sets are used, of which interval type-2 fuzzy sets are particularly good at dealing with larger ...
Shilpa Devi +3 more
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Development and Control of time-related interval for ambiguous knowledge bases (Type II) using genetic algorithms [PDF]
The Interval Type-2 Fuzzy Logic Control (IT2FLC) utilizes a genetic algorithm (GA), known as the Genetics Interval Type-2 Fuzzy Network (GIT2FS), to optimize the fuzzy parameters, including fuzzy functions for membership and fuzzy regulation bases. After
Mutar, Jinan Redha
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Quasi-arithmetic means and OWA functions in interval-valued and Atanassov's intuitionistic fuzzy set theory [PDF]
, 2011 In this paper we propose an extension of the well-known OWA functions introduced by Yager to interval-valued (IVFS) and Atanassov’s intuitionistic (AIFS) fuzzy set theory.
Deschrijver, Glad
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Remote Sensing, 2017 Interval type-2 fuzzy c-means (IT2FCM) clustering methods for remote-sensing data classification are based on interval type-2 fuzzy sets and can effectively handle uncertainty of membership grade.
Jifa Guo, Hongyuan Huo
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Distributed localized contextual event reasoning under uncertainty [PDF]
, 2016 We focus on Internet of Things (IoT) environments where sensing and computing devices (nodes) are responsible to observe, reason, report and react to a specific phenomenon.
Anagnostopoulos, Christos +2 more
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Process Capability Analysis Using Interval Type-2 Fuzzy Sets [PDF]
International Journal of Computational Intelligence Systems, 2017 In some cases, the specification limits of a quality characteristic should be defined under uncertain information. In the literature, process capability analyses have been handled by using type-1 fuzzy sets under fuzziness up to now. In this paper, we develop the concept of type-2 fuzzy quality and use it in the calculation of process capability. Lower
Abbas Parchami +3 more
openaire +2 more sources
Adaptive type-2 fuzzy second order sliding mode control for nonlinear uncertain chaotic system
, 2015 In this paper, a robust adaptive type-2 fuzzy higher order sliding mode controller is designed to stabilize the unstable periodic orbits of uncertain perturbed chaotic system with internal parameter uncertainties and external disturbances.
Essounbouli, Najib +2 more
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A new fuzzy set merging technique using inclusion-based fuzzy clustering [PDF]
, 2008 This paper proposes a new method of merging parameterized fuzzy sets based on clustering in the parameters space, taking into account the degree of inclusion of each fuzzy set in the cluster prototypes.
Kaymak, U, Nefti-Meziani, S, Oussalah, M
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