Next Article in Journal
Thermal Stress Analysis in ZrO2 Insulation Coatings on Cr-Ni Substrates during Cooling Process
Previous Article in Journal
Investigation of Geometric and Material Effects on Critical Load of Thermoplastic-Matrix Composite Plates with a Square Hole under In-Plane Loadings
Article Menu

Article Versions

Export Article

Open AccessArticle
Math. Comput. Appl. 2011, 16(3), 588-597; doi:10.3390/mca16030588

An Approximation Approach for Ranking Fuzzy Numbers Based on Weighted Interval - Value

Department of Mathematics Science and Research Branch, Islamic Azad University, Tehran, Iran
Author to whom correspondence should be addressed.
Published: 1 December 2011
Download PDF [789 KB, uploaded 18 March 2016]


In the present paper, the researchers discuss the problem of weighted interval approximation of fuzzy numbers. This interval can be used as a crisp set approximation with respect to a fuzzy quantity. Then, by using this, the researchers propose a novel approach to ranking fuzzy numbers. This method can effectively rank various fuzzy numbers, their images and overcome the shortcomings of the previous techniques.
Keywords: Ranking; Fuzzy numbers; Weighted interval-value; Defuzzification Ranking; Fuzzy numbers; Weighted interval-value; Defuzzification
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Allahviranloo, T.; Abbasbandy, S.; Saneifard, R. An Approximation Approach for Ranking Fuzzy Numbers Based on Weighted Interval - Value. Math. Comput. Appl. 2011, 16, 588-597.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics



[Return to top]
Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top