Evaluation of Fuzzy Quantities by Distance Method and its Application in Environmental Maps

نویسنده

  • R. Saneifard
چکیده

The present paper aimed at designing a new method to rank fuzzy numbers by distance method. The purpose of the present study was to give a new method to value various fuzzy numbers effectively and at the same time overcome the shortcomings of the previous studies. The proposed method is based on the central interval and the maximum crisp value of fuzzy numbers.The results of the analysis indicated that the following method effectively rank various fuzzy numbers and their images. The findings are discussed as far as a new method is concerned to be far simpler than the other approaches. Finally, this method compared the present proposed definition with some other known ones.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A new approach to fuzzy quantities ordering based on distance method and its applications for solving fuzzy linear programming

Many ranking methods have been proposed so far. However, there is yet no method that can always give a satisfactory solution to every situation; some are counterintuitive, not discriminating; some use only the local information of fuzzy values; some produce different ranking for the same situation. For overcoming the above problems, we propose a new method for ranking fuzzy quantities based on ...

متن کامل

Optimal locating of Urban Waste Recycling Facility (Case Study: Kelardasht, Iran)

Solid waste is an integral part of human life, generation of various quantities and qualities of which is one of the greatest environmental problems of the current era. Application of modern tools and technology to find the right place for recycling, where the volume of recyclable materials can be reduced, seems vital for reusing the recoverable materials contained in normal waste and their rec...

متن کامل

A Fuzzy C-means Algorithm for Clustering Fuzzy Data and Its Application in Clustering Incomplete Data

The fuzzy c-means clustering algorithm is a useful tool for clustering; but it is convenient only for crisp complete data. In this article, an enhancement of the algorithm is proposed which is suitable for clustering trapezoidal fuzzy data. A linear ranking function is used to define a distance for trapezoidal fuzzy data. Then, as an application, a method based on the proposed algorithm is pres...

متن کامل

Evaluation of AHP and Fuzzy Methods in Landslide Accurrence Zonation (Case study: Beheshtabad Basin, ChaharMahal Bakhtiari Province)

Landslide is one of the natural disasters which cause a lot of annual damage directly or indirectly in the world. Land use changes and high rainfall are leading causes of creation this phenomenon in Beheshtabad basin. Therefore the effective factors were analyzed in this process. The main aim of this study is comparison of two methods AHP and FAHP that are used in landslide hazard zonation by c...

متن کامل

A robust least squares fuzzy regression model based on kernel function

In this paper, a new approach is presented to fit arobust fuzzy regression model based on some fuzzy quantities. Inthis approach, we first introduce a new distance between two fuzzynumbers using the kernel function, and then, based on the leastsquares method, the parameters of fuzzy regression model isestimated. The proposed approach has a suitable performance to<b...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013