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. ...Show MoreMetadata
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 (lambda, 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.
Published in: 2009 IEEE International Conference on Fuzzy Systems
Date of Conference: 20-24 August 2009
Date Added to IEEE Xplore: 02 October 2009
ISBN Information:
Print ISSN: 1098-7584
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- IEEE Keywords
- Index Terms
- Fuzzy Numbers ,
- Interval-valued Fuzzy Numbers ,
- Interval-valued Fuzzy ,
- Economic Problems ,
- Demand Function ,
- Business Problems ,
- Fuzzy Optimization ,
- Decision-making ,
- Confidence Level ,
- Polynomial Of Degree ,
- Triangular Numbers ,
- Planning Period ,
- Amount Of Demand ,
- Triangular Fuzzy Numbers ,
- Membership Grades ,
- Perfect Market
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Fuzzy Numbers ,
- Interval-valued Fuzzy Numbers ,
- Interval-valued Fuzzy ,
- Economic Problems ,
- Demand Function ,
- Business Problems ,
- Fuzzy Optimization ,
- Decision-making ,
- Confidence Level ,
- Polynomial Of Degree ,
- Triangular Numbers ,
- Planning Period ,
- Amount Of Demand ,
- Triangular Fuzzy Numbers ,
- Membership Grades ,
- Perfect Market