ranking fuzzy numbers plays a very important role in decision making and some other fuzzy application systems. many different methods have been proposed to deal with ranking fuzzy numbers. constructing ranking indexes based on the centroid of fuzzy numbers is an important case. but some weaknesses are found in these indexes. the purpose of this paper is to give a new ranking index to rank vario...

Many fuzzy time series approaches have been proposed in recent years. These methods include three main phases such as fuzzification, defining fuzzy relationships and, defuzzification. Aladag et al. [2] improved the forecasting accuracy by utilizing feed forward neural networks to determine fuzzy relationships in high order fuzzy time series. Another study for increasing forecasting accuracy was...

We propose the design of an analog Interval Type-2 (IT2) fuzzy logic controller chip that is based on the realization approach of averaging of two Type-1 Fuzzy Logic Systems (T1 FLSs). The fuzzifier is realized using transconductance mode membership function generator circuits. The membership functions are made tunable by setting some reference voltages on the IC pins. The inference is realized...

<p style="text-align: justify;">The primary objective of this study is to require the experts’ unanimous agreement on e-learning antecedents and usage behavior towards performance. This used Fuzzy Delphi Method (FDM) gather answers feedback using a 7-point Likert scale. The survey (items) was reviewed approved by eight panel members or experts. It analyzed Logic (FUDELO 1.0) software. dat...

This paper presents an economic order quantity (EOQ) inventory model for imperfect quality items with receiving a reparative batch and overlapping in dense fuzzy environment Here, the are identified by screening divided into either scrap or reworkable items. The kept store until next received. Afterwards, returned to supplier be reworked. Also, discount on purchasing cost is employed as offer o...

Fuzzy logic control is being increasingly applied to solve control problems in areas where system complexity, development time and cost are the major issues. In the absence of a system mathematical model , a fuzzy system model is described which is analogous to a human operator’s behavior, based on approximate reasoning bound by a minimum set of rules. A set of linguistic fuzzy control rules ar...

In the last decades, Tehran, as capital of Iran, has faced severe air pollution. Considering importance pollution, particularly PM2.5, study assesses environmental impacts (EIA) PM2.5 in Tehran metropolis using 4-year consecutive data (2014–2017). For this purpose, inverse distance weighting model, geographically weighted regression (GWR) and fuzzy analytic network process (FANP) for interpolat...

in the fundamental production inventory model, in order to solve the economic production quantity (epq) we always fix both the demand quantity and the production quantity per day. but, in the real situation, both of them probably will have little disturbances every day. therefore, we should fuzzify both of them to solve the economic production quantity (q*) per cycle. using α-cut for defuzzific...

Every student is unique. Evaluation of student answersheet should be done in more fair and transparent manner. Whenever subjective evaluation is there it may lead to difference of opinion. Fuzziness arises by virtue of difference in opinion. To improve the classical statistics of the teaching assessment this paper combines the various methods. It uses fuzzy logic to solve the said problem of Ev...

$EVWUDFW Design of a fuzzy controller requires more design decisions than usual, for example regarding rule base, inference engine, defuzzification, and data preand post processing. This tutorial paper identifies and describes the design choices related to single-loop fuzzy control, based on an international standard which is underway. The paper contains also a design approach, which uses a PID...