A Value Function for Assessing Sustainability: Application to Industrial Buildings
AbstractDecision support tools based on multi-attribute analysis involve the use of different types of variables. These variables are aimed at providing a framework that allows preferences to be quantified. This is particularly useful in the field of sustainability, where variables with different units are involved. One widely accepted framework for standardizing different units is the value function. Studies of value function are complex and frequently have limited physical meaning. In this context, this paper emphasizes the need to define a general equation that reflects the preferences of the decision maker in a clear and easily applied way. The paper proposes a new general equation that fulfils these requirements. By modifying certain parameters, this general equation represents the most commonly used relationships (linear, convex, concave and S-shaped). The proposed equation is finally applied to four variables used in the field of industrial buildings and sustainability.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by MDPI, Open Access Journal in its journal Sustainability.
Volume (Year): 3 (2010)
Issue (Month): 1 (December)
Contact details of provider:
Web page: http://www.mdpi.com/
value function; decision making; multi-attribute analysis; industrial building; sustainability;
Find related papers by JEL classification:
- Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
- Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
- Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
- Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
- Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
- Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
- O13 - Economic Development, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Cristian-Ioan Tiu & Thaleia Zariphopoulou, 2000. "On Level Curves of Value Functions in Optimization Models of Expected Utility," Mathematical Finance, Wiley Blackwell, vol. 10(2), pages 323-338.
- Eric Wong & George Norman & Roger Flanagan, 2000. "A fuzzy stochastic technique for project selection," Construction Management and Economics, Taylor & Francis Journals, vol. 18(4), pages 407-414.
- Larichev, O. I. & Olson, D. L. & Moshkovich, H. M. & Mechitov, A. J., 1995. "Numerical vs Cardinal Measurements in Multiattribute Decision Making: How Exact Is Enough?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 64(1), pages 9-21, October.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (XML Conversion Team).
If references are entirely missing, you can add them using this form.