Triangular Fuzzy Model Research Articles

Application of polygonal fuzzy numbers to the basic economic order quantity model

In this paper, we fuzzified the total cost and demand in the basic Economic Order Quantity model using the polygonal fuzzy numbers. By generalizing the signed distance defuzzification method for the polygonal fuzzy numbers, we apply this new method to the basic inventory model. Then we show that our method gives better results than triangular fuzzy model.

Interval Pricing Study of Deposit Insurance in China

This paper first proposes a European option pricing method for deposit insurance based on triangular intuitionistic fuzzy numbers. In the proposed method, we take into account the randomness and fuzziness of bank asset value simultaneously, and hence, the method can adequately reflect the high uncertainty of bank asset value. This method fuzzifies the value of bank asset, resubmits it into the original deposit insurance option pricing model as a fuzzy random variable, and then gives an analytic formula of deposit insurance rates using a risk-neutral method. After this, we have also conducted a numerical analysis. In specific, we have obtained the premium interval and presented the static analysis of key parameters. Finally, seven small- and middle-sized banks in Hunan Province in China are used as examples to validate the proposed interval pricing model. The Black-Scholes option pricing model and Yoshida’s triangular fuzzy model are also employed for comparison. The research results show that the interval rates obtained from the proposed European option pricing method for deposit insurance can better reflect the uncertainty of bank asset evaluation than the fixed rates obtained from the Black-Scholes option pricing model. Moreover, the model proposed in this paper is also superior to Yoshida’s model in practice.

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