A multiple attributes decision making model is wildly used and studied. The goal of multiple attributes decision making problems is to select a perfect alternative. The existed methods pay attention to rank the alternatives and suggest a best alternative to decision makers. However, there is risk hiding on the priority order. When accepting the order, decision makers undertake the risk at the same time. It is unknown for decision makers. To show the advantages and disadvantages for each alternative, and the risk of a selection, we propose a possibility priority degree analyzing model. With this model, decision makers can be aware of the possibility of priority degree, similar degree and the priority risk, and then make decision. It will effectively reduce the decision risk and improve the decision efficiency.
Published in | European Business & Management (Volume 4, Issue 2) |
DOI | 10.11648/j.ebm.20180402.11 |
Page(s) | 44-54 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2018. Published by Science Publishing Group |
MADM, Possibility, Priority Degree, Alternatives, Attributes
[1] | Mac Crimmon, K. R. (1968). Decision making among multiple-attribute alternatives: a survey and consolidated approach (No. RM-4823-ARPA). RAND CORP SANTA MONICA CA. |
[2] | Fishburn, P. C. (1965). Independence in utility theory with whole product sets. Operations Research, 13 (1), 28-45. |
[3] | Terry, H. (1963). Comparative evaluation of performance using multiple criteria. Management Science, 9 (3), 431-442. |
[4] | Papandreou, A. G. (1957). A test of a stochastic theory of choice (Vol. 16). University of California Press. |
[5] | Churchman, C. W., Ackoff, R. L., & Arnoff, E. L. (1957). Introduction to operations research. |
[6] | Aumann, R. J., & Kruskal, J. B. (1958). The coefficients in an allocation problem. Naval Research Logistics Quarterly, 5 (2), 111-123. |
[7] | Wohlstetter, A. (1964). Analysis and design of conflict systems. Analysis for military decisions, 103-148. |
[8] | Simon, H. A. (1955). A behavioral model of rational choice. The quarterly journal of economics, 99-118. |
[9] | Fishburn, P. C. (1964). Decision and value theory (No. 511.65 F5). |
[10] | Shepard, R. N. (1962). The analysis of proximities: Multidimensional scaling with an unknown distance function. I. Psychometrika, 27 (2), 125-140. |
[11] | Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making, Springer-Verlag, Berlin. |
[12] | Milani, A. S., Shanian, A., Madoliat, R., & Nemes, J. A. (2005). The effect of normalization norms in multiple attribute decision making models: a case study in gear material selection. Structural and multidisciplinary optimization, 29 (4), 312-318. |
[13] | Yoon, K. P., & Hwang, C. L. (1995). Multiple attribute decision making: an introduction (Vol. 104). Sage publications. |
[14] | Wang, T. C., & Lee, H. D. (2009). Developing a fuzzy TOPSIS approach based on subjective weights and objective weights. Expert Systems with Applications, 36 (5), 8980-8985. |
[15] | Saaty, T. L. (1988). What is the analytic hierarchy process?. In Mathematical models for decision support (pp. 109-121). Springer Berlin Heidelberg. |
[16] | Zeleny, M., & Cochrane, J. L. (1973). Multiple criteria decision making. University of South Carolina Press. |
[17] | Liu, S., Chan, F. T., & Ran, W. (2016). Decision making for the selection of cloud vendor: An improved approach under group decision-making with integrated weights and objective/subjective attributes. Expert Systems with Applications, 55, 37-47. |
[18] | Durrett, R. (1996). Probability: theory and examples. Cambridge U Press, 39 (5), 320-353. |
APA Style
Mingming Hu, Xinmiao Ye, Jibin Lan, Fang Liu. (2018). A Possibility Priority Degree Analyzing Process for Multiple Attributes Decision Making Problems. European Business & Management, 4(2), 44-54. https://doi.org/10.11648/j.ebm.20180402.11
ACS Style
Mingming Hu; Xinmiao Ye; Jibin Lan; Fang Liu. A Possibility Priority Degree Analyzing Process for Multiple Attributes Decision Making Problems. Eur. Bus. Manag. 2018, 4(2), 44-54. doi: 10.11648/j.ebm.20180402.11
AMA Style
Mingming Hu, Xinmiao Ye, Jibin Lan, Fang Liu. A Possibility Priority Degree Analyzing Process for Multiple Attributes Decision Making Problems. Eur Bus Manag. 2018;4(2):44-54. doi: 10.11648/j.ebm.20180402.11
@article{10.11648/j.ebm.20180402.11, author = {Mingming Hu and Xinmiao Ye and Jibin Lan and Fang Liu}, title = {A Possibility Priority Degree Analyzing Process for Multiple Attributes Decision Making Problems}, journal = {European Business & Management}, volume = {4}, number = {2}, pages = {44-54}, doi = {10.11648/j.ebm.20180402.11}, url = {https://doi.org/10.11648/j.ebm.20180402.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ebm.20180402.11}, abstract = {A multiple attributes decision making model is wildly used and studied. The goal of multiple attributes decision making problems is to select a perfect alternative. The existed methods pay attention to rank the alternatives and suggest a best alternative to decision makers. However, there is risk hiding on the priority order. When accepting the order, decision makers undertake the risk at the same time. It is unknown for decision makers. To show the advantages and disadvantages for each alternative, and the risk of a selection, we propose a possibility priority degree analyzing model. With this model, decision makers can be aware of the possibility of priority degree, similar degree and the priority risk, and then make decision. It will effectively reduce the decision risk and improve the decision efficiency.}, year = {2018} }
TY - JOUR T1 - A Possibility Priority Degree Analyzing Process for Multiple Attributes Decision Making Problems AU - Mingming Hu AU - Xinmiao Ye AU - Jibin Lan AU - Fang Liu Y1 - 2018/01/19 PY - 2018 N1 - https://doi.org/10.11648/j.ebm.20180402.11 DO - 10.11648/j.ebm.20180402.11 T2 - European Business & Management JF - European Business & Management JO - European Business & Management SP - 44 EP - 54 PB - Science Publishing Group SN - 2575-5811 UR - https://doi.org/10.11648/j.ebm.20180402.11 AB - A multiple attributes decision making model is wildly used and studied. The goal of multiple attributes decision making problems is to select a perfect alternative. The existed methods pay attention to rank the alternatives and suggest a best alternative to decision makers. However, there is risk hiding on the priority order. When accepting the order, decision makers undertake the risk at the same time. It is unknown for decision makers. To show the advantages and disadvantages for each alternative, and the risk of a selection, we propose a possibility priority degree analyzing model. With this model, decision makers can be aware of the possibility of priority degree, similar degree and the priority risk, and then make decision. It will effectively reduce the decision risk and improve the decision efficiency. VL - 4 IS - 2 ER -