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An Iterative Method for Quasi-Variational-Like Inclusions with Fuzzy Mappings

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Rough Sets and Knowledge Technology (RSKT 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4062))

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Abstract

This paper presents an iterative method for solving a class of generalized quasi-variational-like inclusions with fuzzy mappings. The method employs step size controls that enable applications to problems where certain set-valued mappings do not always map to empty set. The algorithm also adopts the recently introduced (H,η)-monotone concept which unifies many known monotonicities. Thus generalized many existing results.

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Author information

Authors and Affiliations

  1. Mathematical College, Sichuan University, Chengdu, Sichuan, 610064, P.R. China

    Yunzhi Zou & Nanjing Huang

Authors
  1. Yunzhi Zou
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  2. Nanjing Huang
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Editor information

Editors and Affiliations

  1. College of Computer Science and Technology, Chongqing, University of Posts and Telecommunication, 400065, Chongqing, P.R. China

    Guo-Ying Wang

  2. Department of Electrical and Computer Engineering, University of Manitoba, R3T 5V6, Winnipeg, Manitoba, Canada

    James F. Peters

  3. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

  4. Department of Computer Science, University of Regina, Regina,, S4S 0A2, Saskatchewan, Canada

    Yiyu Yao

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© 2006 Springer-Verlag Berlin Heidelberg

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Zou, Y., Huang, N. (2006). An Iterative Method for Quasi-Variational-Like Inclusions with Fuzzy Mappings. In: Wang, GY., Peters, J.F., Skowron, A., Yao, Y. (eds) Rough Sets and Knowledge Technology. RSKT 2006. Lecture Notes in Computer Science(), vol 4062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11795131_50

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  • DOI: https://doi.org/10.1007/11795131_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36297-5

  • Online ISBN: 978-3-540-36299-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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