Paper Information

Title: 

A METHOD FOR DISCRIMINATING EFFICIENT CANDIDATES WHIT RANKED VOTING DATA BY COMMON WEIGHT

Type: PAPER
Author(s): KHANMOHAMMADI M.*,KAZEMIMANESH M.
 
 *DEPARTMENT OF MATHEMATICS, SCIENCE ESLAMSHAHR BRANCH, ISLAMIC AZAD UNIVERSITY, ESLAMSHAHR, IRAN
 
Name of Seminar: INTERNATIONAL CONFERENCE OF IRANIAN OPERATIONS RESEARCH SOCIETY
Type of Seminar:  CONFERENCE
Sponsor:  OPERATIONS RESEARCH SOCIETY
Date:  2008Volume 1
 
 
Abstract: 

RANKED VOTING DATA ARISE WHEN VOTERS SELECT AND RANK MORE THAN ONE CANDIDATE WITH ORDER OF PREFERENCE. IN THE RECENT PAPERS WE CONSIDER RANKED VOTING DATA WHICH IS OBTAINED WHEN VOTERS SELECT AND RANK MORE THAN ONE CANDIDATE. HERE, IT IS ASSUMED THAT A VOTER SELECTS K (K>0) CANDIDATES FROM A SET OF M(M³K) CANDIDATES AND RANKS THEM FROM TOP TO PLACE. A PREFERANCE SCORE, ZI, OF THE CANDIDATE I SHOULD BE CALCULATED AS A WEIGHTED SUM OF VOTES WITH CERTAIN WEIGHTS WI,
ZI=∑WJVIJ (1)

 
Keyword(s): 
 
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