Descriptive decision-making of lung cancer treatment using a DM model with Dempster-Shafer theory and Prospect theory | IEEE Conference Publication | IEEE Xplore

Descriptive decision-making of lung cancer treatment using a DM model with Dempster-Shafer theory and Prospect theory


Abstract:

This paper explains a descriptive decision-making framework under uncertainty elucidating different decision attitudes of a newly-diagnosed lung cancer patient regarding ...Show More

Abstract:

This paper explains a descriptive decision-making framework under uncertainty elucidating different decision attitudes of a newly-diagnosed lung cancer patient regarding treatment decision. The problem of treatment decision making of a lung cancer patient has been defined as Evidential Decision-making Problem (EDMP) at first. Belief function of Dempster-Shafer theory is exploited to explain uncertainty of EDMP and Prospect theory is applied to accomplish a descriptive decision-making framework. The goal of this paper is to find what decisions regarding treatments are made by a lung cancer victim when attitudes towards uncertainty are different.
Date of Conference: 20-24 November 2012
Date Added to IEEE Xplore: 22 April 2013
ISBN Information:
Conference Location: Kobe, Japan

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