Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2013 (Vol. 5, Issue: 20)
Article Information:

Providing a Comparative Method of Numbers Based on Ideal Positive and Negative Points and Use of an Appropriate Weight for Better diagnosis of Power

R. Saneifard and K. Biramzadeh
Corresponding Author:  R. Saneifard 

Key words:  Area ranking, L-R fuzzy number, maximizing and minimizing sets, normal fuzzy number, positive and negative ideal points, un-normal fuzzy number, weighted function
Vol. 5 , (20): 4822-4826
Submitted Accepted Published
August 24, 2012 October 03, 2012 May 15, 2013
Abstract:

The set method of maximizing and minimizing is one of the favorite ranking methods for fuzzy numbers which ranks them on the basis of left and right regions or parts and general applications. This study shows an ordered method of ranking for Fuzzy numbers which define the new ordered region for the purpose of ranking and left and right regions within fuzzy numbers and improves two ideal points defined by means of an index with respect to the tendency of decision maker «DM» considering the risk–taking by an optimal weight and shows that the ranking method of combination by this weight has more differential and can improve the points method of ideal positive and negative which has used different values for (Alfa) by Wang et al. (2009) and with the help of an appropriate weight can improve that quality.
Abstract PDF HTML
  Cite this Reference:
R. Saneifard and K. Biramzadeh, 2013. Providing a Comparative Method of Numbers Based on Ideal Positive and Negative Points and Use of an Appropriate Weight for Better diagnosis of Power.  Research Journal of Applied Sciences, Engineering and Technology, 5(20): 4822-4826.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved