The Generalized Rectangular Fuzzy Assessment Model (GRFAM) is applied for the evaluation of student group acquisition of the van Hiele levels of geometric reasoning and an example is presented illustrating our results. The GRFAM is a variation of the Center of Gravity defuzzification technique created in an effort to treat better the ambiguous assessment cases being at the boundaries between an...

When we deal with the estimator of a parameter, it is important for us to find an estimator with minimum variance. For this reason, this paper discuss on the variance of fuzzy random variable. There are two different approaches to the definition of the variance of a fuzzy random variable. In the first one, the variance of the fuzzy random variable is defined as a crisp number by using defuzzifi...

The paper presents second author’s step toward building quite new theory of fuzzy signals. Before, in the first step author defined fuzzy Fourier transform. Here, an approach to description of fuzzy correlation functions is proposed. New definitions, called later fuzzy correlation and defuzzified correlation are proposed for fuzzy signals. The definitions are based on new concepts of the class ...

The major purpose of this paper is to apply a stochastic single-period inventory management approach to analyze optimal cash management policies with fuzzy cash demand based on fuzzy integral method so that total cost is minimized. We will find that, after defuzzification, the cash-raising amounts and the total costs between the fuzzy case and the crisp case are slightly different when the vari...

This paper presents a hybrid fuzzy multi criteria decision making model for z-numbers using intuitive vectorial centroid. There are two novelty discuss here: 1) development of intuitive vectorial centroid defuzzification and; 2) development of hybrid fuzzy multi criteria decision making model based on consistent fuzzy preference relations and fuzzy technique for order performance by similarity ...

A novel and versatile implementation for analog defuzzification with fixed singleton coefficienls is introduced. It is based on differential pairs with multiple input floating gate transistors and on Gilben uanslinearcells. The singlcton cocfficients are determined by relative capacitance values. Experinlental results of a breadboard prototype that verify the proposed schemc are shown.

In this paper, we deal with fuzzy random variables for inputs andoutputs in Data Envelopment Analysis (DEA). These variables are considered as fuzzyrandom flat LR numbers with known distribution. The problem is to find a method forconverting the imprecise chance-constrained DEA model into a crisp one. This can bedone by first, defuzzification of imprecise probability by constructing a suitablem...

Abstract Type-2 fuzzy sets (T2FSs) can deal with higher modeling and uncertainties which exist in the real-world application, specifically control systems. Particularly climate changes are always uncertain thus, type-2 controller is an effective system to handle those situations. Polyhouse a methodology used cultivate plants. It breaks seasonal hurdle of formulation it also suitable for conflic...

A systematic methodology for condition assessment of the historic road bridges was needed because poor and inadequate which cannot satisfy everyday-day dynamic loads deteriorations due to aging process. Thus in this study, a new expert system based on knowledge approach has been proposed develop procedure these using fuzzy logic sets ?-cuts. Each bridge is divided into three components: superst...

The fuzzy logic technique is one of the effective approaches for evaluating flexible and rigid pavement distress. process classifying distress usually performed by visual inspection surface or using data collected automated measurement equipment. Fuzzy mathematics provides a convenient tool incorporating subjective analysis, uncertainty in condition index, maintenance-needs assessment, can grea...