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A model for information risks management in economic intelligent systems

Abstract : Subjective estimation and perception, complexity of the environment under study, interaction amongst subsystems, lack of precise data, missing data, limited information processing capacity and ambiguity in natural languages are major forms of uncertainty facing Decision Makers in the process of delivering strategic decisions in economic intelligent systems. This study employs soft computing paradigm to capture and analyze uncertainty based on information risk factors via our proposed knowledge reconciliation model based on ontology and the FuzzyWatch model. We modeled the process of decision making from the point of problem definition to decision delivery (translation credibility) and include intangible factors with the fish-bone architecture. Ontological framework for Knowledge Reconciliation was developed to facilitate knowledge sharing and reuse among both human and computer agents while intangible factors, emotions and ambiguities in natural languages were captured with fuzzy membership function. We extended this operation with fuzzy that is ? what ontology captures is interpreted by fuzzy techniques (FuzzOntology). The fuzzy match relation for information retrieval tagged ?FuzzyWatch? improves the information search result thus reducing the risk of missing data which is of grave consequence in Economic Intelligence process. FuzzOntological model facilitates a flexible means of capturing intangible and uncertain factors as a means of resolving the ambiguity in natural languages. FuzzyWatch assists in reducing missing data problems. Future decisional process will contend with lesser information retrieval risks in Economic Intelligence process using this model.
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Submitted on : Thursday, March 29, 2018 - 2:00:42 PM
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  • HAL Id : tel-01752869, version 1



Olufade Falade Williams Onifade. A model for information risks management in economic intelligent systems. Library and information sciences. Université Nancy 2, 2010. English. ⟨NNT : 2010NAN21007⟩. ⟨tel-01752869⟩



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