Optimal revenue for fuzzy price based on interval-valued fuzzy numbers

Teng-San Shih, Jin-Shieh Su, Huey-Ming Lee
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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.
基于区间模糊数的模糊价格最优收益
本文研究了商学和经济学中的一个模糊优化问题。在这个问题中,模糊价格是用一个线性的一次需求函数来确定的。目标是找到最优的模糊收益,该收益由模糊价格得到。我们使用水平(λ, 1)区间值模糊数来考虑模糊价格和模糊收益。利用带符号距离去模糊,得到了模糊意义上的需求函数和收益函数。接下来,我们可以在模糊意义上找到最大收益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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