A cybernetic model for analytic network process

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

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.

Original languageEnglish
Title of host publication2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
PublisherIEEE
Pages1914-1919
Number of pages6
Volume4
ISBN (Print)9781424465262
DOIs
Publication statusPublished - 20 Sep 2010
Externally publishedYes
Event2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010 - Qingdao, China
Duration: 11 Jul 201014 Jul 2010

Conference

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

Keywords

  • analytic hierarchy process
  • analytic network process
  • cybernetic model
  • data collection
  • knowledge reuse
  • machine learning
  • decision making
  • data acquisition
  • adaptation models

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