A Method of Assigning Weights Using a Ranking and Nonhierarchy Comparison

The analytic hierarchy process (AHP) has advantages that the whole number of comparisons can be reduced via a hierarchy structure and the consistency of responses verified via a consistency ratio. However, at the same time, the AHP has disadvantages that values vary according to the form of hierarchy structure and it is difficult to maintain consistency itself among responses. If the number of comparisons can be reduced, a comparison within a single level is optimal, and if comparison can be made while the priority among entities is maintained, consistency may be automatically maintained. Thus, in this study, we propose a method of assigning weights, which applies hierarchy structure of AHP and pairwise comparison but complements the disadvantages of AHP. This method has advantages that the number of comparisons can be reduced and also consistency is automatically maintained via determination of priorities first on multiple entities and subsequent comparisons between entities with adjoined priorities.

[1]  Sushil Kumar,et al.  Analytic hierarchy process: An overview of applications , 2006, Eur. J. Oper. Res..

[2]  Valerie Belton,et al.  On a short-coming of Saaty's method of analytic hierarchies , 1983 .

[3]  Chian-Son Yu,et al.  A GP-AHP method for solving group decision-making fuzzy AHP problems , 2002, Comput. Oper. Res..

[4]  Stan Lipovetsky,et al.  Robust estimation of priorities in the AHP , 2002, Eur. J. Oper. Res..

[5]  John W. Payne,et al.  Task complexity and contingent processing in decision making: An information search and protocol analysis☆ , 1976 .

[6]  junseopshim,et al.  A Comparison of Weight Elicitation Techniques: Focusing on AHP, JA, and SW , 2007 .

[7]  Pin-Yu Chu,et al.  A fuzzy AHP application in government-sponsored R&D project selection☆ , 2008 .

[8]  Ludmil Mikhailov,et al.  Deriving priorities from fuzzy pairwise comparison judgements , 2003, Fuzzy Sets Syst..

[9]  Thomas L. Saaty,et al.  Decision-making with the AHP: Why is the principal eigenvector necessary , 2003, Eur. J. Oper. Res..

[10]  William R. King,et al.  An experimental study of the value of information , 1982 .

[11]  Kamal M. Al‐Subhi Al‐Harbi,et al.  Application of the AHP in project management , 2001 .

[12]  Chung-Hsing Yeh,et al.  Multi-criteria analysis for dredger dispatching under uncertainty , 1999, J. Oper. Res. Soc..

[13]  Evangelos Triantaphyllou,et al.  Multi-Criteria Decision Making: An Operations Research Approach , 1998 .

[14]  Haicheng Yang,et al.  A study of the weighting method for a certain type of multicriteria optimization problem , 2001 .

[15]  Hepu Deng Multicriteria analysis with fuzzy pairwise comparison , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[16]  D. Chang Applications of the extent analysis method on fuzzy AHP , 1996 .

[17]  Ching-Hsue Cheng,et al.  Evaluating attack helicopters by AHP based on linguistic variable weight , 1999, Eur. J. Oper. Res..

[18]  Zhongsheng Hua,et al.  On the extent analysis method for fuzzy AHP and its applications , 2008, Eur. J. Oper. Res..

[19]  Eldar Shafir,et al.  Reason-based choice , 1993, Cognition.