Research on Assessment of Ability for Urban Fire Disaster Reduction with Uncertain Linguistic Information

Jinxin Cheng
February 2012
International Journal of Digital Content Technology & its Applic;Feb2012, Vol. 6 Issue 3, p280
Academic Journal
With the evolution of modernization progress and the elevation of sustainable development request for society, economy, and environment etc, people pay more and more attention to the management of fire disaster reduction. City, as the undertaker of disasters, has become the research key point of fire disaster reduction all over the world increasingly. In this paper, we investigate the multiple attribute decision making (MADM) problems for evaluating the ability for urban fire disaster reduction with uncertain linguistic information. We utilize the OWC-LOWA operator to aggregate the uncertain linguistic information corresponding to each alternative and get the overall value of the alternatives, then rank the alternatives and select the most desirable one(s). Finally, an illustrative example for ability for urban fire disaster reduction with uncertain linguistic information is given.


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