نتایج جستجو برای: Normal fuzzy numbers

تعداد نتایج: 826936  

Journal: :international journal of modeling, identification, simulation and control 0
abolfazl kazemi faculty of industrial and mechanical engineering, qazvin branch, islamic azad university, qazvin, iran ahmad talebi faculty of industrial and mechanical engineering, qazvin branch, islamic azad university, mahsa oroojeni mohammad javad department of mechanical and industrial engineering, northeastern university, boston, ma 02115, usa

project planning is part of project management, which is relates to the use of schedules such as gantt charts to plan and subsequently report progress within the project environment. initially, the project scope is defined and the appropriate methods for completing the project are determined. in this paper a new approach for the critical path analyzing a project network with random fuzzy activi...

Ranking fuzzy numbers plays a main role in many applied models inreal world and in particular decision-making procedures. In manyproposed methods by other researchers may exist some shortcoming.The most commonly used approaches for ranking fuzzy numbers isbased on defuzzification method. Many ranking fuzzy numberscannot discriminate between two symmetric fuzzy numbers withidentical core. In 200...

Journal: :iranian journal of fuzzy systems 0
fazlollah abbasi department of mathematics ayatollah amoli branch, islamic azad university, amol, iran tofigh allahviranloo department of mathematics, science and research branch, islamic azad university, tehran, iran saeid abbasbandy department of mathematics, science and research branch, islamic azad university, tehran, iran

fuzzy measures are suitable in analyzing human subjective evaluation processes. several different strategies have been proposed for distance of fuzzy numbers. the distances introduced for fuzzy numbers can be categorized in two groups:1. the crisp distances which explain crisp values for the distance between two fuzzy numbers.2. the fuzzy distance which introduce a fuzzy distance for normal fuz...

Journal: :iranian journal of fuzzy systems 2013
a. blanco-fernandez m. r. casals a. colubi n. corral m. garca-barzana

data obtained in association with many real-life random experiments from different fields cannot be perfectly/exactly quantified.hspace{.1cm}often the underlying imprecision can be suitably described in terms of fuzzy numbers/values. for these random experiments, the scale of fuzzy numbers/values enables to capture more variability and subjectivity than that of categorical data, and more accura...

Journal: :International Journal of Intelligent Systems and Applications 2013

Journal: :Journal of Interpolation and Approximation in Scientific Computing 2014

Journal: :international journal of information, security and systems management 2014
nasser mikaeilvand

in this paper, a novel method for ranking of fuzzy numbers are proposed. in this method, decision maker is defined based on the center of mass at some cuts of a pair of fuzzy numbers in discreet version and center of mass on all of cuts of a pair of fuzzy numbers in continuous version. our method can rank more than two fuzzy numbers simultaneously. also, some properties of methods are described...

Fuzzy measures are suitable in analyzing human subjective evaluation processes. Several different strategies have been proposed for distance of fuzzy numbers. The distances introduced for fuzzy numbers can be categorized in two groups:\1. The crisp distances which explain crisp values for the distance between two fuzzy numbers.\2. The fuzzy distance which introduce a fuzzy distance for normal f...

Journal: :علوم 0

in this paper, by using a new approach on distance between two fuzzy numbers, we construct a new ranking system for fuzzy number which is very realistic and also matching our intuition as the crisp ranking system on r.

Journal: :international journal of industrial engineering and productional research- 0
navid khademi département economie-gestion, ecole normale supérieure de cachan, france afshin shariat mohaymany iran university of science and technology jalil shahi iran university of science and technology mojtaba rajabi iran university of science and technology

most of the researches in the domain of fuzzy number comparisons serve the fuzzy number ordering purpose. for making a comparison between two fuzzy numbers, beyond the determination of their order, it is needed to derive the magnitude of their order. in line with this idea, the concept of inequality is no longer crisp however it becomes fuzzy in the sense of representing partial belonging or de...

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