A cybernetic model for analytic network process

Zhen Chen

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)

    Abstract

    This paper provides a novel approach to the application of analytic network process (ANP) with regard to avoid the bottleneck problem in data collection through questionnaire surveys. A cybernetic model is firstly introduced to reflect all general targets and related processes so as to set up a generic framework of methodology for an efficient use of ANP. Under this framework, a novel questionnaire formatting approach, called Pair-Wiser, is then put forward for lean questionnaire design, data collection and process in order to solve bottleneck problem in data collection and significantly reduce the work load in answering questionnaires for complex decision making problems. A case study is used to demonstrate the effectiveness of using Pair-Wiser in ANP modeling. Both of the cybernetic model and Pair-Wiser approach are based on the author's research into ANP applications in the past seven years, and can effectively facilitate the adoption of ANP in real projects. © 2010 IEEE.

    Original languageEnglish
    Title of host publication2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
    Pages1914-1919
    Number of pages6
    Volume4
    DOIs
    Publication statusPublished - 2010
    Event2010 International Conference on Machine Learning and Cybernetics - Qingdao, China
    Duration: 11 Jul 201014 Jul 2010

    Conference

    Conference2010 International Conference on Machine Learning and Cybernetics
    Abbreviated titleICMLC 2010
    CountryChina
    CityQingdao
    Period11/07/1014/07/10

    Keywords

    • Analytic hierarchy process
    • Analytic network process
    • Cybernetic model
    • Data collection
    • Knowledge reuse

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  • Cite this

    Chen, Z. (2010). A cybernetic model for analytic network process. In 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010 (Vol. 4, pp. 1914-1919) https://doi.org/10.1109/ICMLC.2010.5580528