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Decision support for extracting and dissolving consumers' uneasiness over foods using stochastic DEMATEL

Tamura H., Okanishi H., Akazawa K.

Journal of Telecommunications and Information Technology

2006

nr 4

91-95

In this paper we try to extract consumers' uneasy factors on foods such as carcinogenic substance, bovine spongiform encephalopathy (BSE) problem, genetic recombination, etc., and try to construct structural models among these uneasy factors using stochastic DEMATEL. Stochastic DEMATEL is developed as a revised DEMATEL (Decision Making Trial and Evaluation Laboratory) to extract structural models of a complex problematique composed of many factors under uncertainty. For structural modeling of uneasy factors on foods we look at the binary relation such that "How much would it help to dissolve uneasy factor j by dissolving uneasy factor i?" Finally, we try to find the priority of dissolving each factor among all the uneasy factors based on the information of stochastic composite importance. This would contribute for decision support to dissolve uneasy feeling and to get sense of security on foods.

Stochastic DEMATEL for structural modeling of a complex problematique for realizing safe, secure and reliable society

Tamura H., Akazawa K.

Journal of Telecommunications and Information Technology

2005

nr 4

139-146

In this paper we propose a revised Decision Making Trial and Evaluation Laboratory (DEMATEL), called stochastic DEMATEL, to extract structural model of a complex problematique and to represent the priority of each factor taking into account the uncertainty of structure. In the stochastic DEMATEL, the uncertainty of structure is expressed as a stochastic model. From numerical experiments and experimental analyses, the following results are obtained: when the structure is uncertain, stochastic DEMATEL could extract the features of structure by the degree of dispatching influences and the degree of central role; stochastic composite importance could express the uncertainty of priority and decide the priority taking into account the attitude of the decision maker; pessimistic, neutral or optimistic.