In this paper we present the main features an implementation details of a programming language that we call Bousi∼Prolog. It can be seen as an extension of Prolog able to deal with similarity-based fuzzy unification (“Bousi” is the Spanish acronym for “fuzzy unification by similarity”). The main goal is the implementation of a declarative programming language well suited for flexible query answ...

The present teaching evaluation models are researched on and the evaluation criteria is designed automatically from the perspectives of experts and students. And then that is made to be a kind of scientific and reasonable criteria. By combining the approach weighted entropy and fuzzy comprehensive evaluation, the present model proposes a teaching comprehensive evaluation model. This software mo...

We point out that a simple test of the mechanism of CP violation can be performed by a measurement of the CP asymmetries in exclusive and inclusive radiative rare decays. We show that the rate asymmetries ∆Γ = Γ(B → fγ)− Γ(B+ → f̄γ) for certain final states f can be predicted in a theoretically clean way. Some implications for b → sl+l− decays are discussed.

In this paper, I provide the basis for a measureand integral-theoretic formulation of possibility theory. It is shown that, using a general definition of possibility measures, and a generalization of Sugeno’s fuzzy integral – the seminormed fuzzy integral, or possibility integral –, a unified and consistent account can be given of many of the possibilistic results extant in the literature. The ...

The linear multiobjective transportation problem is a special type of vector minimum problem in which constraints are all equality type and the objectives are conflicting in nature. This paper presents an application of fuzzy goal programming to the linear multiobjective transportation problem. In this paper, we use a special type of nonlinear (hyperbolic and exponential) membership functions t...

In real problems, there are basically two kind of uncertainty: uncertainty due to the lack of knowledge with respect to well defined objects, but for which there are different hypothetical situations, and uncertainty due to the intrinsic vagueness of the objects. Traditionally, the first type of uncertainty has been studied with the help of Probability Theory while the second one has used Fuzzy...

The way engineers use fuzzy control in real world applications is often not coherent with an understanding of the control rules as logical statements or implications. In most cases fuzzy control can be seen as an interpolation of a partially speciied control function in a vague environment, which reeects the indistinguishability of measurements or control values. In this paper we show that equa...

In this paper, we propose a hybrid method to forecast the stock prices called High-order-fuzzy-fluctuation-Trends-based Back Propagation(HTBP)Neural Network model. First, we compare each value of the historical training data with the previous day's value to obtain a fluctuation trend time series (FTTS). On this basis, the FTTS blur into fuzzy time series (FFTS) based on the fluctuation of the i...