Fuzzy Techniques To Reduce Subjectivity And Combine Qualitative And Quantitative Criteria In A Multi-Objective Design Problem
2018 IEEE 9TH ANNUAL INFORMATION TECHNOLOGY, ELECTRONICS AND MOBILE COMMUNICATION CONFERENCE (IEMCON)(2018)
摘要
This paper uses fuzzy sets and fuzzy numbers to reduce the subjectivity in the assignment of qualitative criteria in a design problem. Through fuzzy measures and the Choquet integral it is possible to combine multiple qualitative and quantitative criteria into a single numerical value and make a proper design decision. The fuzzy measures, indicators of the importance of single criteria are determined using a linear program optimization method. The input for the linear program is only a preference order of some of the alternatives. With the verified fuzzy measures it is then possible to compute a single numerical value for the remaining alternatives. This results in an order of preferred design constructions and a recommendation for an optimized design. The theory is applied to EEG/EOG (electroencephalography/electrooculography) electrode placement for sleep monitoring by incorporating the criteria: comfort, reliability and power consumption.
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关键词
Multi-objective design optimization, EEG monitoring, fuzzy numbers, fuzzy measures, Choquet integral
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