IWRA World Water Congress 2008 Montpellier France
5. Water Governance and Water Security
Mahdi Zarghami:PhD candidate, Civil Engineering Dept., Sharif Univ. of Tech., Tehran, 11365-
9313, Iran and Visiting Scholar, Systems and Industrial Engineering Dept., Univ. of Arizona, Tucson, AZ 85721-
0020, USA. E-mail: firstname.lastname@example.org
Inter basin water transfer; multi attribute decision making; ordered weighted
averaging; optimism degree.
AbstractOne of the best ways to control the water
shortages in the Central Region of Iran is inter-basin water transfer (IBWT). Efficient decision making on this subject
is however a real challenge for the water authorities in Iran. These decisions should include multiple attributes, model
uncertainty, and also the optimistic/pessimistic view of the decision makers.
The Ordered Weighted Averaging
(OWA) operator can be used as an efficient multi attribute decision making (MADM) method. This paper will
introduce a new method to obtain the order weights of this operator. The new method is based on the combination
of fuzzy quantifiers and neat OWA operators. Fuzzy quantifiers are applied for soft computing in modeling the
optimism degree of the decision maker. In using neat operators, the ordering of the inputs is not needed resulting in
better computation efficiency. The theoretical results will be illustrated in a case study by solving an MADM problem
with four IBWT projects for the Zayanderud basin. The results demonstrate that more sensitive decisions can be
obtained by using the new method.