MCDM'07 - paper no. 8

 

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Affinity set and its applications

Moussa Larbani, Yuh-Wen Chen

Abstract:

Affinity has a long history related to the social behavior of human, especially, the formation of social groups or social networks. Affinity has two meanings. The first is a natural liking for or attraction to a person, thing, idea, etc. The second defines affinity as a close relationship between people or things that have similar appearances, qualities, structures, properties, or features. Affinity here is simply defined as the distance/closeness between any two objects: the distance measurement could be geometric or abstract, or any type a decision maker prefers. A new forecasting method without historical memory, based on game theory and affinity set is originally proposed. The prediction performance of this new model is compared with the simple regression model for their performances on decision of buying in or selling out stocks in a dynamic market. Interestingly the qualitative model: affinity model performs better than the quantitative model: simple regression model. Possible affinity set applications are provided as well in order to encourage readers to develop affinity models for actual applications.

Keywords:

Affinity, forecasting, decision, distance

Reference index:

Moussa Larbani, Yuh-Wen Chen, (2008), Affinity set and its applications, Multiple Criteria Decision Making (3), pp. 117-134

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Scopus citations in 5 paper(s):
  1. Chen, Y. -., Larbani, M., & Chen, C. -. (2008). Predicting the arrival of emergent patient by affinity set. Paper presented at the ICEIS 2008 - 10th International Conference on Enterprise Information Systems, Proceedings, , SAIC 273-277
  2. Chen, Y. -., Larbani, M., Hsieh, C. -., & Chen, C. -. (2009). Introduction of affinity set and its application in data-mining example of delayed diagnosis. Expert Systems with Applications, 36(8), 10883-10889. doi:10.1016/j.eswa.2009.02.020
  3. Chen, Y. -., Larbani, M., Li, T. -., & Chen, C. -. (2009). Using affinity set on mining the necessity of computed tomography scanning. Paper presented at the 2009 IEEE/INFORMS International Conference on Service Operations, Logistics and Informatics, SOLI 2009, 219-223. doi:10.1109/SOLI.2009.5203933
  4. Chen, Y. -., Larbani, M., Shen, C. -., & Chen, C. -. (2009). Using affinity set on finding the key attributes of delayed diagnosis. Applied Mathematical Sciences, 3(7), 297-316
  5. Michnik, J., Michnik, A., & Pietuch, B. (2008). Credit scoring model based on the affinity set. Paper presented at the ICEIS 2008 - 10th International Conference on Enterprise Information Systems, Proceedings, , SAIC 287-290