Interval type-2 intuitionistic fuzzy logic systems: a comparative evaluation

Eyoh, Imo and John, Robert and de Maere, Geert (2018) Interval type-2 intuitionistic fuzzy logic systems: a comparative evaluation. In: 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018), 11-15 June 2018, Cádiz, Spain. (In Press)

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Several fuzzy modeling techniques have been employed for handling uncertainties in data. This study presents a comparative evaluation of a new class of interval type-2 fuzzy logic system (IT2FLS) namely: interval type-2 intuitionistic fuzzy logic system (IT2IFLS) of Takagi-Sugeno-Kang (TSK)-type with classical IT2FLS and its type-1 variant (IFLS). Simulations are conducted using a real-world gas compression system (GCS) dataset. Study shows that the performance of the proposed framework with membership functions (MFs) and non- membership functions (NMFs) that are each intervals is superior to classical IT2FLS with only MFs (upper and lower) and IFLS with MFs and NMFs that are not intervals in this problem domain.

Item Type: Conference or Workshop Item (Paper)
Keywords: Interval Type-2 Intuitionistic Fuzzy Logic systems, mem- bership functions, non-membership functions, Decoupled extended Kalman filter
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
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Depositing User: Eprints, Support
Date Deposited: 07 Mar 2018 11:33
Last Modified: 07 Mar 2018 11:35

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