AHP and Extent Fuzzy AHP Approach for Prioritization of Performance Measurement Attributes
The decision to recruit manpower in an organization
requires clear identification of the criteria (attributes) that distinguish
successful from unsuccessful performance. The choice of appropriate
attributes or criteria in different levels of hierarchy in an organization
is a multi-criteria decision problem and therefore multi-criteria
decision making (MCDM) techniques can be used for prioritization
of such attributes. Analytic Hierarchy Process (AHP) is one such
technique that is widely used for deciding among the complex criteria
structure in different levels. In real applications, conventional AHP
still cannot reflect the human thinking style as precise data
concerning human attributes are quite hard to be extracted. Fuzzy
logic offers a systematic base in dealing with situations, which are
ambiguous or not well defined. This study aims at defining a
methodology to improve the quality of prioritization of an
employee-s performance measurement attributes under fuzziness. To
do so, a methodology based on the Extent Fuzzy Analytic Hierarchy
Process is proposed. Within the model, four main attributes such as
Subject knowledge and achievements, Research aptitude, Personal
qualities and strengths and Management skills with their subattributes
are defined. The two approaches conventional AHP
approach and the Extent Fuzzy Analytic Hierarchy Process approach
have been compared on the same hierarchy structure and criteria set.
[1] T. L. Saaty, The analytic hierarchy process: planning, priority setting,
resource allocation. New York: McGraw-Hill, 1980.
[2] C. Kahraman, U. Cebeci, R.Da, "Multi-Criterion Comparison of
Catering Service Companies Using Fuzzy AHP: The Case of Turkey",
International Journal of Production Economics, vol. 87, pp171-184,
2004.
[3] B.W. Taylor, Introduction to Management Science, Pearson Education
Inc., New Jersey, 2004.
[4] R.E. Bellman, L.A. Zadeh, Decision making in fuzzy environment,
Management Science, vol. 17B: pp 141-164, 1960.
[5] D. Bouyssou,T. Marchant, M. Pirlot, P. Perny, A. Tsoukias, and P.
Vincke, Evaluation Models: A Critical Perspective, Kluwer, Boston,
2000.
[6] D.Y. Chang, , "Applications of the extent analysis method on fuzzy
AHP", European Journal of Operational Research, vol. 95, pp 649-655,
1996.
[7] P.J.M. Van Laarhoven, W. Pedrycz, "A fuzzy extension of Saaty-s
priority theory", Fuzzy Sets and Systems, vol. 11, pp 229-241, 1983.
[8] C.G.E. Boender, J.G. De Graan, F.A. Lootsma, "Multicriteria
Decision Analysis with Fuzzy Pairwise Comparisons", Fuzzy Sets and
Systems, vol. 29, pp133-143, 1989.
[9] Yu ,"A GP-AHP method for solving group decision making fuzzy AHP
problems" , Computers & Operations Research , Pergamon ,vol. 29 ,
pp1969-2001, 2002 .
[10] D.Y. Chang, Extent analysis and synthetic decision, optimization
techniques and applications, Vol. 1, Singapore: World Scientific,
pp.352, 1992.
[11] F. Bozbura, A. Beskese , C. Kahraman, "Prioritisation of human capital
measurement indicators using fuzzy AHP", Experts systems with
applications , 32(207) , pp 1100-1112, 2007.
[12] E. Tolga, M. L. Demircan and C. Kahraman, "Operating System
Selection Using Fuzzy Replacement Analysis and Analytic Hierarchy
Process", International Journal of Production Economics, vol. 97, pp 89-
117, 2005.
[13] K. J. Zhu, D. Y. Jing, "A discussion on extent analysis method and
applications of fuzzy AHP", European Journal of Operational Research,
vol. 116, pp450-456 , 1999.
[1] T. L. Saaty, The analytic hierarchy process: planning, priority setting,
resource allocation. New York: McGraw-Hill, 1980.
[2] C. Kahraman, U. Cebeci, R.Da, "Multi-Criterion Comparison of
Catering Service Companies Using Fuzzy AHP: The Case of Turkey",
International Journal of Production Economics, vol. 87, pp171-184,
2004.
[3] B.W. Taylor, Introduction to Management Science, Pearson Education
Inc., New Jersey, 2004.
[4] R.E. Bellman, L.A. Zadeh, Decision making in fuzzy environment,
Management Science, vol. 17B: pp 141-164, 1960.
[5] D. Bouyssou,T. Marchant, M. Pirlot, P. Perny, A. Tsoukias, and P.
Vincke, Evaluation Models: A Critical Perspective, Kluwer, Boston,
2000.
[6] D.Y. Chang, , "Applications of the extent analysis method on fuzzy
AHP", European Journal of Operational Research, vol. 95, pp 649-655,
1996.
[7] P.J.M. Van Laarhoven, W. Pedrycz, "A fuzzy extension of Saaty-s
priority theory", Fuzzy Sets and Systems, vol. 11, pp 229-241, 1983.
[8] C.G.E. Boender, J.G. De Graan, F.A. Lootsma, "Multicriteria
Decision Analysis with Fuzzy Pairwise Comparisons", Fuzzy Sets and
Systems, vol. 29, pp133-143, 1989.
[9] Yu ,"A GP-AHP method for solving group decision making fuzzy AHP
problems" , Computers & Operations Research , Pergamon ,vol. 29 ,
pp1969-2001, 2002 .
[10] D.Y. Chang, Extent analysis and synthetic decision, optimization
techniques and applications, Vol. 1, Singapore: World Scientific,
pp.352, 1992.
[11] F. Bozbura, A. Beskese , C. Kahraman, "Prioritisation of human capital
measurement indicators using fuzzy AHP", Experts systems with
applications , 32(207) , pp 1100-1112, 2007.
[12] E. Tolga, M. L. Demircan and C. Kahraman, "Operating System
Selection Using Fuzzy Replacement Analysis and Analytic Hierarchy
Process", International Journal of Production Economics, vol. 97, pp 89-
117, 2005.
[13] K. J. Zhu, D. Y. Jing, "A discussion on extent analysis method and
applications of fuzzy AHP", European Journal of Operational Research,
vol. 116, pp450-456 , 1999.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:63298", author = "Remica Aggarwal and Sanjeet Singh", title = "AHP and Extent Fuzzy AHP Approach for Prioritization of Performance Measurement Attributes", abstract = "The decision to recruit manpower in an organization
requires clear identification of the criteria (attributes) that distinguish
successful from unsuccessful performance. The choice of appropriate
attributes or criteria in different levels of hierarchy in an organization
is a multi-criteria decision problem and therefore multi-criteria
decision making (MCDM) techniques can be used for prioritization
of such attributes. Analytic Hierarchy Process (AHP) is one such
technique that is widely used for deciding among the complex criteria
structure in different levels. In real applications, conventional AHP
still cannot reflect the human thinking style as precise data
concerning human attributes are quite hard to be extracted. Fuzzy
logic offers a systematic base in dealing with situations, which are
ambiguous or not well defined. This study aims at defining a
methodology to improve the quality of prioritization of an
employee-s performance measurement attributes under fuzziness. To
do so, a methodology based on the Extent Fuzzy Analytic Hierarchy
Process is proposed. Within the model, four main attributes such as
Subject knowledge and achievements, Research aptitude, Personal
qualities and strengths and Management skills with their subattributes
are defined. The two approaches conventional AHP
approach and the Extent Fuzzy Analytic Hierarchy Process approach
have been compared on the same hierarchy structure and criteria set.", keywords = "AHP, Extent analysis method, Fuzzy AHP,
Prioritization.", volume = "7", number = "1", pages = "130-6", }