Fuzzy, crisp and human logic in E-Commerce marketing data mining

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4384, Issue , 2001, Pages 67-74

  Hearn, K L ^a   Zhang, Y ^a  

^a GEORGIA STATE UNIVERSITY   (United States)

Author keywords

Crisp logic; Data mining; E Commerce; Fuzzy logic; Marketing

Indexed keywords

ARTIFICIAL INTELLIGENCE; ELECTRONIC COMMERCE; FUZZY SETS; MARKETING; NEURAL NETWORKS;

CRISP LOGIC;

DATA MINING;

EID: 0034936142     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.421093     Document Type: Conference Paper

References (6)

1. What does fuzzy logic bring to AI?
2. A proposal for adding reality to expert systems
3. Just decisions using multiple criteria or who gets the Porshe? An application of Ronald R Yager's fuzzy logic method
4. Commonsense reasoning based on fuzzy logic