Development of a Model based on Evaluation Considering Explicit and Implicit Element in Multiple Criteria Decision Making

Rumiko Azuma, Shinya Nozaki

Abstract

The Analytic Hierarchy Process (AHP) is a decision-making method for smoothly managing problems, criteria, and alternatives. AHP can be used to respond to multiple criteria, and allows for the quantification of subjective human judgments, as well as objective evaluations. In a classical AHP, a decision-maker derives a list of priorities by consciously comparing criteria and alternatives in order to deriving a comprehensive evaluation. However, when the number of criteria increases, the problem also becomes complicated and the subjective judgment of the decision-maker tends to be clouded by ambiguity and inconsistency. As the solution, this study proposes a method whereby latent elements are extracted from the data given by the decision-maker, and an evaluation is made from a different aspect based on the extracted elements. This allows for the construction of a model in which a decision is made from both explicit and implicit elements by making a final synthesis of the results obtained using the conventional method as well as the evaluation obtained using the method proposed in this study. As a result, we can conclude that it is possible to make a decision that is not affected by the ambiguity or inconsistency of the decision-maker.

References

  1. Jolliffe, I. T. (2002). Principal Component Analysis, Second Edition. Springer.
  2. Kim, Y.-H. (2006). Study on impact mechanism for beef cattle farming and importance of evaluating agricultural information in korea using dematel, pca and ahp. In Agricultural Information Research. Japan Society of Agricultural Informatics.
  3. Kinoshita, E. and Nakanishi, M. (1997). A proposal of a new viewpoint in analytic hierarchy process. In Journal of Infrastructure Planning and Management. Japan Society of Civil Engineers.
  4. Kinoshita, E. and Nakanishi, M. (1998). Proposal of new ahp model in light of dominant relationship among alternatives. In Journal of the Operations Research Society of Japan. JORSJ.
  5. Lee, J., Kang, S., Rosenberger, J., and Kim, S. B. (2010). A hybrid approach of goal programming for weapon systems selection. In Computers and Industrial Engineering. Elsevier.
  6. Saaty, T. L. (1980). The Analytic Hierarchy Process. McGraw-Hill.
  7. Saaty, T. L. (1986). Absolute and relative measurement with the ahp. the most livable cities in the united states. In Socio-Economic Planning Sciences. Elsevier.
  8. Saaty, T. L. and Takizawa, M. (1986). Dependence and independence: From linear hierarchies to nonlinear networks. In European Journal of Operational Research. Elsevier.
  9. Wu, D. S., Feng, X., and Wen, Q. Q. (2011). The research of evaluation for growth suitability of carya cathayensis sarg. based on pca and ahp. In Procedia Engineering. Elsevier.
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Paper Citation


in Harvard Style

Azuma R. and Nozaki S. (2014). Development of a Model based on Evaluation Considering Explicit and Implicit Element in Multiple Criteria Decision Making . In Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-017-8, pages 271-276. DOI: 10.5220/0004905802710276


in Bibtex Style

@conference{icores14,
author={Rumiko Azuma and Shinya Nozaki},
title={Development of a Model based on Evaluation Considering Explicit and Implicit Element in Multiple Criteria Decision Making},
booktitle={Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2014},
pages={271-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004905802710276},
isbn={978-989-758-017-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Development of a Model based on Evaluation Considering Explicit and Implicit Element in Multiple Criteria Decision Making
SN - 978-989-758-017-8
AU - Azuma R.
AU - Nozaki S.
PY - 2014
SP - 271
EP - 276
DO - 10.5220/0004905802710276