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

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 wit...

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Main Authors: Eyoh, Imo, John, Robert, de Maere, Geert
Format: Conference or Workshop Item
Published: 2018
Subjects:
Online Access:https://eprints.nottingham.ac.uk/50276/
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author Eyoh, Imo
John, Robert
de Maere, Geert
author_facet Eyoh, Imo
John, Robert
de Maere, Geert
author_sort Eyoh, Imo
building Nottingham Research Data Repository
collection Online Access
description 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.
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institution University of Nottingham Malaysia Campus
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publishDate 2018
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spelling nottingham-502762020-05-04T19:40:45Z https://eprints.nottingham.ac.uk/50276/ Interval type-2 intuitionistic fuzzy logic systems: a comparative evaluation Eyoh, Imo John, Robert de Maere, Geert 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. 2018-06-15 Conference or Workshop Item PeerReviewed Eyoh, Imo, 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 Jun 2018, Cádiz, Spain. (In Press) Interval Type-2 Intuitionistic Fuzzy Logic systems mem- bership functions non-membership functions Decoupled extended Kalman filter
spellingShingle Interval Type-2 Intuitionistic Fuzzy Logic systems
mem- bership functions
non-membership functions
Decoupled extended Kalman filter
Eyoh, Imo
John, Robert
de Maere, Geert
Interval type-2 intuitionistic fuzzy logic systems: a comparative evaluation
title Interval type-2 intuitionistic fuzzy logic systems: a comparative evaluation
title_full Interval type-2 intuitionistic fuzzy logic systems: a comparative evaluation
title_fullStr Interval type-2 intuitionistic fuzzy logic systems: a comparative evaluation
title_full_unstemmed Interval type-2 intuitionistic fuzzy logic systems: a comparative evaluation
title_short Interval type-2 intuitionistic fuzzy logic systems: a comparative evaluation
title_sort interval type-2 intuitionistic fuzzy logic systems: a comparative evaluation
topic Interval Type-2 Intuitionistic Fuzzy Logic systems
mem- bership functions
non-membership functions
Decoupled extended Kalman filter
url https://eprints.nottingham.ac.uk/50276/