Detecting Sensitive Information from Textual Documents: An Information-Theoretic Approach David

  • Karaboga D
  • Akay B
  • Ozturk C
ISSN: 0302-9743
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Abstract

Several researchers on country-of-origin (coo) have expressed theirinterest in knowing how consumers� emotional reactions toward coo-cuesaffect product attitude formation. This paper shows how Fuzzy SetTheory might serve as a useful approach to that problem. Data wasgathered by means of self-administered questionnaires. Technically,orness of OWA-operators enabled us to distinguish consumers expressinghighly positive versus less positive emotions toward coo. It appearedthat this variance in emotional estate goes together with a differencein aggregating product-attribute beliefs.

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Karaboga, D., Akay, B., & Ozturk, C. (2007). Detecting Sensitive Information from Textual Documents: An Information-Theoretic Approach David. Modeling Decisions for Artificial …, 4617(November), 318–329. Retrieved from http://link.springer.com/chapter/10.1007/978-3-540-73729-2_30

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