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This paper presents a theoretical framework and preliminary results for the assessment of uncertainty in soft data. Soft data involves statements that contain incomplete, ambiguous and biased information. Many of those statements are subjective. For this work, an incremental model is developed to explore dimensions of soft data uncertainty, such as ambiguities of natural language, inaccuracies of...
This paper explores the question of soft data integration for information fusion. The topic is of particular interest in military and civilian fusion applications making use of both sensor and human-based information. Soft data has much to offer for such applications, where subtle connections are difficult to observe with physical sensors. However, the purpose of this analysis is to broaden our comprehension...
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