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A Strategic Model for Measuring Agility with Fuzzy Logic

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Advances in Computation and Intelligence (ISICA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5370))

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Abstract

Agility is the set of capabilities and competencies that an organization needs to thrive and prosper in a continuously changing and unpredictable business environment. This paper, based upon our studies in Iran’s Manufacturing Industry, presents a model for organizational agility and then suggests a knowledge-based methodology for measuring agility. For being agile, every organization needs a number of capabilities (e.g. responsiveness) and competencies (e.g., knowledge management (KM) and flexibility), these capabilities and competencies are broken into some dimensions and finally the resulting dimensions to some indices. For measuring agility we use “IF {Fuzzy antecedents} THEN {Fuzzy consequent}” rules. This system uses expert knowledge and includes implementation of fuzzy logic methods and terminology.

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Author information

Authors and Affiliations

  1. Instructor, Department of Industrial Management, Vali-E-Asr University, Rafsanjan, Kerman, Iran

    Gholamreza Khoshsima

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  1. Gholamreza Khoshsima
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Editors and Affiliations

  1. Computation Center, Wuhan University, 430072, Wuhan, China

    Lishan Kang

  2. Faculty of Computer Science, China University of Geosciences, 430074, Wuhan, Hubei, P.R. China

    Zhihua Cai

  3. School of Computer Science, China University of Geosciences, Wu-Han, 430074, China Research Center for Space Science and Technology, China University of Geosciences, 430074, Wu-Han, China

    Xuesong Yan

  4. The University of Aizu, Tsuruga, Ikki-machi, 965-8580, Aizu-Wakamatsu City Fukushima, Japan

    Yong Liu

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Khoshsima, G. (2008). A Strategic Model for Measuring Agility with Fuzzy Logic. In: Kang, L., Cai, Z., Yan, X., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2008. Lecture Notes in Computer Science, vol 5370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92137-0_29

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  • DOI: https://doi.org/10.1007/978-3-540-92137-0_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92136-3

  • Online ISBN: 978-3-540-92137-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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