DocumentCode
2583348
Title
Scenario planning for climate strategies development by integrating group Delphi, AHP and dynamic fuzzy cognitive maps
Author
Biloslavo, Roberto ; Dolinsek, Slavko
Author_Institution
Fac. of Manage. Koper, Univ. of Primorska, Koper
fYear
2008
fDate
27-31 July 2008
Firstpage
1103
Lastpage
1111
Abstract
A hybrid approach to scenario planning by integrating group Delphi method, AHP (analytic hierarchy process) and dynamic fuzzy cognitive maps is proposed in the paper. The group Delphi method is employed to help group of experts to identify which worldwide forces have a major impact on climate related issues and how they interact together. In the second phase is assessed the value range that different variables of the proposed system can achieve and the impact that they have on each other. Assessment of the impact is done by use of the multiplicative AHP. During this phase the expert group also identifies which mathematical function (e.g. linear, sigmoid, concave, convex etc.) most properly describes relation between different forces. Based on this data a fuzzy cognitive map is developed as a base for a dynamic simulation of the world climate development. The simulation aims to serve as a source of guidelines about future organisational and technological changes, which can deliver a superior competitive position based on sustainable development strategy.
Keywords
cognitive systems; decision making; environmental factors; fuzzy set theory; analytic hierarchy process; climate strategies development; dynamic fuzzy cognitive maps; dynamic simulation; group Delphi; mathematical function; sustainable development strategy; world climate development; Africa; Cities and towns; Fuzzy cognitive maps; Guidelines; Instruments; Marketing and sales; Process planning; Social implications of technology; Strategic planning; Sustainable development;
fLanguage
English
Publisher
ieee
Conference_Titel
Management of Engineering & Technology, 2008. PICMET 2008. Portland International Conference on
Conference_Location
Cape Town
Print_ISBN
978-1-890843-17-5
Electronic_ISBN
978-1-890843-18-2
Type
conf
DOI
10.1109/PICMET.2008.4599720
Filename
4599720
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