A fuzzy constraint satisfaction approach for electronic shopping assistance

Expert Systems with Applications

Volumn 27, Issue 4, 2004, Pages 593-607

  Wang, Juite ^a   Dai, C H ^b  

^a FENG CHIA UNIVERSITY   (Taiwan)

^b AEROSPACE INDUSTRIAL DEVELOPMENT CORPORATION   (Taiwan)

Author keywords

Constraint satisfaction; Electronic commerce; Fuzzy sets; Possibility theory; Similarity measures

Indexed keywords

ALGORITHMS; AUTOMATION; COMPUTATIONAL COMPLEXITY; CONSUMER PRODUCTS; DATABASE SYSTEMS; ELECTRONIC COMMERCE; FUZZY SETS; INFORMATION SCIENCE; MATHEMATICAL MODELS; NEURAL NETWORKS; PRODUCT DEVELOPMENT; SHOPPING CENTERS; WORLD WIDE WEB;

CONSTRAINT SATISFACTION; FUZZY SET LOGIC; POSSIBILITY THEORY; SIMILARITY MEASURES;

FUZZY CONTROL;

EID: 4544240596     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2004.06.004     Document Type: Article

References (19)

1. Changchien, S. W., & Lu, T.-C. (2001). Mining association rules procedure to support on-line recommendation by customers and products fragmentation. Expert Systems with Applications, 20(4), 325-335.
2. Chen, S.-J., Hwang, C.-L., & Hwang, F. P. (1992). Fuzzy multiple attribute decision making: methods and applications. Berlin: Springer.
3. Doorenbos, R. B., Etzioni, O., & Weld, D. S. (1997). A scalable comparison-shopping agent for the world-wide web. Proceedings of the First International Conference on Autonomous Agents, Marina del Rey, CA, USA pp. 39-48.
4. Dubois, D., Fargier, H., & Prade, H. (1994). Propagation and satisfaction of flexible constraints. In R. R. Yager, & L. A. Zadeh (Eds.), Fuzzy sets, neural networks and soft computing (pp. 166-187), Dordrecht: Kluwer.
5. Dubois, D., & Prade, H. (1988). Possibility theory: an approach to computerized processing of uncertainty. New York: Plenum Press.
6. Hong, D. H., & Hwang, S. Y. (1994). A note on the value similarity of fuzzy systems variables. Fuzzy Sets and Systems, 66, 383-386.
7. Klir, G. J., & Yuan, B. (1995). Fuzzy sets and fuzzy logic: theory and applications. Englewood Cliffs, NJ: Prentice Hall.
8. Kwang, H. L., Song, Y. S., & Lee, K. M. (1994). Similarity measure between fuzzy sets and between elements. Fuzzy Sets and Systems, 62, 291-293.
9. Lee, W.-P., Liu, C.-H., & Lu, C.-C. (2002). Intelligent agent-based systems for personalized recommendations in Internet commerce. Expert Systems with Applications, 22(4), 275-284.
10. Lee, R. M., & Widmeyer, G. R. (1998). Shopping in the electronic marketplace. Journal of Management Information System, 2(4), 21-35.
11. NUA Internet Surveys (1999a). Shopping sites fail in customer service. September, http://www.nua.com/surveys/index.cgi?f= VS&art_id= 905355254&rel=true.
12. NUA Internet Surveys (1999b). Catalog shopping beats online shopping. October, http://www.nua.com/surveys/index.cgi?f=VS&art_id = 905355366&rel=true.
13. NUA Internet Surveys (2002). US ecommerce sales on the rise. August, http://www.nua.com/surveys/index.cgi?f=VS&art_id = 905358301 &rel=true.
14. Pappis, C. P., & Karacapilidis, N. I. (1993). A comparative assessment of measures of similarity of fuzzy values. Fuzzy Sets and Systems, 56, 171-174.
15. Roy, B., & Vincke, P. H. (1984). Relational systems of preference with one or more pseudo-criteria: some new concepts and results. Management Science, 50(11), 1323-1335.
16. Ryu, Y. U. (1999). A hierarchical constraint satisfaction approach to product selection for electronic shopping support. IEEE Transaction on Systems, Man, and Cybemetics - Part A: Systems and Humans, 29(6), 525-532.
17. Stanoevska-Slabeva, K., & Schmid, B. (2000). Internet electronic product catalogs: an approach beyond simple keywords and multimedia. Computer Networks, 32, 701-715.
18. Wang, W. J. (1997). New similarity measures on fuzzy sets and on elements. Fuzzy Sets and Systems, 85, 305-309.
19. Yuan, S., & Liu, A. (2000). Next-generation agent-enabled comparison shopping. Expert Systems with Applications, 18, 283-297.