A simulation aided solution to an MCDM problem

Author

Szidarovszky, Ferenc ; Eskandari, Abdollah

Author_Institution

Dept. of Syst. & Ind. Eng., Arizona Univ., Tucson, AZ, USA

Volume

1

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

573

Abstract

A forest treatment problem arising in a Northern Arizona region is first formulated as a discrete MCDM problem, in which the payoff values are uncertain. This uncertainty is modeled by randomization considering the uncertain values as random variables with assumed types of distribution depending on the levels of uncertainty. A combination of discrete MCDM methodology and stochastic simulation is used to find the best treatment strategy with respect to criteria including water quantity and quality, wildlife, wood production, aesthetics and management costs

Keywords

decision theory; digital simulation; ecology; forestry; random processes; water supply; Northern Arizona region; aesthetics; discrete multiple criterion decision making problem; forest treatment problem; management costs; random variables; randomization; stochastic simulation; uncertain payoff values; uncertainty modelling; water quality; water quantity; wild life; wood production; Costs; Delta modulation; Industrial engineering; Land use planning; Production; Quality management; Random variables; Resource management; Stochastic processes; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Simulation Conference Proceedings, 1999 Winter

Conference_Location

Phoenix, AZ

Print_ISBN

0-7803-5780-9

Type

conf

DOI

10.1109/WSC.1999.823136

Filename

823136