Numerical Methods to Calculate Fuzzy Boundaries for Brownfield Redevelopment Negotiations

Qian Wang (), D. Marc Kilgour () and Keith W. Hipel ()
Additional contact information
Qian Wang: Oracle Corporation
D. Marc Kilgour: Wilfrid Laurier University
Keith W. Hipel: University of Waterloo

Group Decision and Negotiation, 2015, vol. 24, issue 3, No 9, 515-536

Abstract: Abstract A numerical method is proposed to represent the likelihood of contamination of a brownfield using fuzzy boundaries, and then to estimate the parameters in a fuzzy real options model for brownfield evaluation from different decision maker perspectives. These different values can be used to facilitate negotiations on redevelopment projects. Linguistic quantifiers and ordered weighted averaging (OWA) techniques are utilized to determine the pollution likelihood at sample locations based on multiple environmental indicators. Risk preferences of decision makers are expressed as different “orness” levels of OWA operators, which affect likelihood estimates. When the fuzzy boundary of a brownfield is generated by interpolation of sample points, the parameters of fuzzy real options, drift rate and volatility, can be calculated as fuzzy numbers. Hence, this proposed method can act as an intermediate between decision makers and the fuzzy real options models, making this model much easier to apply. A potential negotiation support system (NSS) implementing these numerical methods is discussed in the context of negotiating brownfield redevelopment projects. A public–private-partnership will be enhanced through information sharing, scenario generation, and conflict analysis provided by the NSS, encouraging more efficient brownfield redevelopment and leading to greater regional sustainability.

Keywords: Ordered weighted averaging (OWA); Linguistic quantifier; Brownfield redevelopment; Fuzzy real options; Geographic Information System (GIS); Negotiation support system (NSS); Public–private-partnership (PPP) (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10726-014-9417-3

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