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...le highly conflicting evidences, for instance Murphy’s simple average combination method [13], Deng et al’s weighted average combination method [14], and Schubert’s the degree of falsity-based method =-=[15]-=-. In this paper, we propose use a novel method for the conflict management. The proposed method uses the power average operator [16] to calculate the credibility of sensor and then combines the eviden...

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...ory (short for D-S theory) is presented by Dempster and Shafer [6, 7]. This theory is widely applied to uncertainty modeling [26, 27], decision making [28, 29, 30, 31, 32, 33, 34], information fusion =-=[35, 36]-=- and uncertain information processing [37]. D-S theory has many advantages to handle uncertain information. First, D-S theory can handle more uncertainty in real world. In contrast to the probability ...

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...f q A short version of this study was presented at the Twelfth International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU 2008) in Málaga, Spain =-=[1]-=-. This work was supported by the FOI research project ‘‘Real-Time Simulation Supporting Effects-Based Planning’’, which is funded by the R&D programme of the Swedish Armed Forces. ⇑ Tel.: +46 8 555037...

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...hat there is at least two possible sources of conflict other than measurement errors. We may have modeling errors or faulty sources [4]. Faulty sources are corrected by appropriate discounting (e.g., =-=[6, 12, 16]-=-) while modeling errors are corrected by adopting an appropriate frame of discernment [13, 14]. In this section we define and investigate an internal conflict of a belief function. We further devise a...

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...conflict encompasses precious information toward the identification of singular or outlying data, hence the motivation to investigate on new conflict analysis criteria. Martin et al. [5] and Schubert =-=[6, 7]-=- have both proposed criteria that allow an individual measure of conflict for each bba involved into a combination process. However both of these approaches are highly dependent on the proportion of s...

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... Our approach prevents from choosing function f and tuning its parameters. A comparison of the performances of our approach and Martin et al.’s approach can be found in section IV. Note that Schubert =-=[12]-=- also introduced an iterative approach for discounting rates computation. At step j the rate of source Si is computed as follows : α j i 3 a bba assigning mass 1 to a singleton. ∩○ (∅) 1−m j−1 i∗ 1−mj...

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...spectively, Figure 2. If an excessive amount of conflict builds up over time, this may be managed by discounting each piece of evidence in proportion to the degree that it contributes to the conflict =-=[9]-=- using the degree of falsity [10]. 2.4 An example c m SSEk m SSE0 = = m SSEk Θ ⊕ mSSEk – 1 m Ek Θ m ( Θ) E0 Let us assume a problem with two entities, the weather forecast W and the risk of a riot R. ...

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...hat there is at least two possible sources of conflict othersthan measurement errors. We may have modeling errors or faulty sources [4].sFaulty sources are corrected by appropriate discounting (e.g., =-=[6, 12, 16]-=-) whilesmodeling errors are corrected by adopting an appropriate frame of discernments[13, 14].sIn this section we define and investigate an internal conflict of a belief function.sWe further devise a...