Skip navigation
  • Home
  • Browse
    • Communities
      & Collections
    • Browse Items by:
    • Publication Date
    • Author
    • Title
    • Subject
    • Department
  • Sign on to:
    • My MacSphere
    • Receive email
      updates
    • Edit Profile


McMaster University Home Page
  1. MacSphere
  2. Open Access Dissertations and Theses Community
  3. Open Access Dissertations and Theses
Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/19476
Title: Non-Numerical Ranking Based on Pairwise Comparisons
Authors: Zhai, Yun
Advisor: Janicki, Ryszard
Department: Computing and Software
Publication Date: Dec-2010
Abstract: <p>The method of Pairwise Comparisons was first described by Marquis de Condorcet in 1785 [1]. At present, this method is identified with Saaty's Analytic Hierarchy Process (AHP, 1980) [25]. AHP is a formal method to derive ranking orders from pairwise comparisons. It is used around the world in a wide variety of decision making, in fields such as education, industry, and government.</p> <p>On the one hand, AHP has many respected practical applications. On the other hand, however, it is still considered by many researchers as a flawed procedure that produces arbitrary rankings [6].</p> <p>A non-numerical partial orders based method was proposed by Janicki and Koczkodaj [14] and developed by Janicki [9, 10, 11, 12, 13]. This model used the concepts of partial orders and rough sets, and emphasized the importance of indifference and weak ordering. However, the consistency rules of the model are incomplete. When the inconsistent pairs are found, the non-numerical ranking method manually changes the relationship among those pairs to satisfy the consistency rules.</p> <p>We extend the consistency rules to make them complete and compact. A consistency-driven algorithm by automatically enforcing "consistency" is presented. Property-driven algorithms by classical partial order approximations and refined partial order approximations are discussed. We present an algorithm using refined partial order approximations. A method of automatically converting AHP data to nonnumerical pairwise comparison ranking system is discussed, which ensures that the generated non-numerical pairwise comparison ranking system is consistent.</p> <p>We implement various ranking algorithms, including the AHP method, consistency-driven method, property-driven method and property/consistency-driven method. We test the experiments referenced in some non-numerical ranking papers, and give examples to compare how well the various non-numerical ranking methods solve the rank reversal problem.</p>
Description: Title: Non-Numerical Ranking Based on Pairwise Comparisons, Author: Yun Zhai, Location: Mills
URI: http://hdl.handle.net/11375/19476
Appears in Collections:Open Access Dissertations and Theses

Files in This Item:
File Description SizeFormat 
Zhai_Yun_2010_12_phd.pdf
Open Access
Title: Non-Numerical Ranking Based on Pairwise Comparisons, Author: Yun Zhai, Location: Mills30.65 MBAdobe PDFView/Open
Show full item record Statistics


Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.

Sherman Centre for Digital Scholarship     McMaster University Libraries
©2022 McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4L8 | 905-525-9140 | Contact Us | Terms of Use & Privacy Policy | Feedback

Report Accessibility Issue