Abstract
This chapter offers a brief introduction to the existing information aggregation methods that are based on measures.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Yager RR (1988) On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Trans Syst Man Cybern 18:183–190
Yager RR, Kacprzyk J (1997) The ordered weighted averaging operators, theory and applications. Springer Science Business Media, LLC
Larsen HL (1999) Importance weighted OWA aggregation of multicriteria queries. Fuzzy Inf Process Soc
Choquet G (1953) Theory of capacities. Ann Inst Fourier 5:131–295
Sugeno M (1974) Theory of fuzzy integrals and its applications, Doctoral Thesis, Tokyo Institute of Technology
Melin P, Mancilla A, Lopez M, Mendoza O (2007) A hybrid modular neural network architecture with fuzzy Sugeno integration for time series forecasting. Appl Soft Comput 7(4):1217–1226
Zadeh LA (1988) Fuzzy logic. Computer 1(4):83–93
Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning. Inf Sci 8(3):199–249
Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353
Karnik NN, Mendel JM, Liang Q (1999) Type-2 fuzzy logic systems. IEEE Trans Fuzzy Syst 7(6):643–658
Liang Q, Mendel J (2000) Interval type-2 fuzzy logic systems: theory and design. IEEE Trans Fuzzy Syst 8(5):535–550
Mendel J (2001) Uncertain rule-based fuzzy logic systems: introduction and new directions. Prentice-Hall
Liu F (2008) An efficient centroid type-reduction strategy for general type-2 fuzzy logic system. Inf Sci 178(9):2224–2236
Mendel JM, Fellow L, Liu F, Zhai D (2009) α-plane representation for type-2 fuzzy sets. theory and applications. IEEE Trans Fuzzy Syst 17(5):1189–1207
Wagner C, Hagras H (2010) Toward general type-2 fuzzy logic systems based on zSlices. Fuzzy Syst IEEE Trans 18(4):637–660
Mendel JM (2010) Comments on alpha-plane representation for type-2 fuzzy sets: theory and applications. IEEE Trans Fuzzy Syst 18(1):229–230
Wagner C, Hagras H (2011) Employing zSlices based general type-2 fuzzy sets to model multilevel agreement. In: 2011 IEEE symposium on advances in type-2 fuzzy logic systems, pp 50–57
Melin P, González CI, Castro JR, Mendoza O, Castillo O (2014) Edge-detection method for image processing based on generalized type-2 fuzzy logic. IEEE Trans Fuzzy Syst 22(6):1515–1525
González CI, Melin P, Castro JR, Castillo O, Mendoza O (2016) Optimization of interval type-2 fuzzy systems for image edge detection. Appl Soft Comput 47:631–643
González CI, Melin P, Castro JR, Mendoza O, Castillo O (2016) An improved sobel edge detection method based on generalized type-2 fuzzy logic. Soft Comput 20(2):773–784
Ontiveros E, Melin P, Castillo O (2018) High order α-planes integration: a new approach to computational cost reduction of General Type-2 Fuzzy Systems. Eng Appl AI 74:186–197
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Melin, P., Martinez, G.E. (2020). Introduction to the Type-2 Fuzzy Sugeno Integral. In: Extension of the Fuzzy Sugeno Integral Based on Generalized Type-2 Fuzzy Logic. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-030-16416-4_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-16416-4_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-16415-7
Online ISBN: 978-3-030-16416-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)