{"title":"基于区间模糊数的模糊价格最优收益","authors":"Teng-San Shih, Jin-Shieh Su, Huey-Ming Lee","doi":"10.1109/FUZZY.2009.5277155","DOIUrl":null,"url":null,"abstract":"In this article, we study a fuzzy optimization problem in business and economics. In this problem, a fuzzy price is determined using a linear one degree demand function. The objective is to find the optimal fuzzy revenue, which is derived from the fuzzy price. We use level (λ, 1) interval-valued fuzzy numbers to consider fuzzy price and fuzzy revenue. Using signed distance to defuzzify, we can get the demand function and revenue function in fuzzy sense. What follows is that we can find the maximum revenue in fuzzy sense.","PeriodicalId":117895,"journal":{"name":"2009 IEEE International Conference on Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal revenue for fuzzy price based on interval-valued fuzzy numbers\",\"authors\":\"Teng-San Shih, Jin-Shieh Su, Huey-Ming Lee\",\"doi\":\"10.1109/FUZZY.2009.5277155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, we study a fuzzy optimization problem in business and economics. In this problem, a fuzzy price is determined using a linear one degree demand function. The objective is to find the optimal fuzzy revenue, which is derived from the fuzzy price. We use level (λ, 1) interval-valued fuzzy numbers to consider fuzzy price and fuzzy revenue. Using signed distance to defuzzify, we can get the demand function and revenue function in fuzzy sense. What follows is that we can find the maximum revenue in fuzzy sense.\",\"PeriodicalId\":117895,\"journal\":{\"name\":\"2009 IEEE International Conference on Fuzzy Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Fuzzy Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.2009.5277155\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Fuzzy Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.2009.5277155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal revenue for fuzzy price based on interval-valued fuzzy numbers
In this article, we study a fuzzy optimization problem in business and economics. In this problem, a fuzzy price is determined using a linear one degree demand function. The objective is to find the optimal fuzzy revenue, which is derived from the fuzzy price. We use level (λ, 1) interval-valued fuzzy numbers to consider fuzzy price and fuzzy revenue. Using signed distance to defuzzify, we can get the demand function and revenue function in fuzzy sense. What follows is that we can find the maximum revenue in fuzzy sense.
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