Information Fusion Under Consideration of Conflicting Input by Uwe Mönks

By Uwe Mönks

This paintings proposes the multilayered details fusion approach MACRO (multilayer attribute-based conflict-reducing commentary) and the µBalTLCS (fuzzified balanced two-layer clash fixing) fusion set of rules to minimize the impression of conflicts at the fusion outcome. additionally, a sensor disorder detection technique, that's in line with the continual tracking of sensor reliabilities, is gifted. The performances of the contributions are proven via their evaluate within the scope of either a publicly to be had info set and a computing device tracking software lower than laboratory stipulations. the following, the MACRO procedure yields the simplest effects in comparison to cutting-edge fusion mechanisms.

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D UBOIS and P RADE introduced a combination rule, which assigns conflicting mass to their focal elements’ union [DP86]. The above mentioned are the most prominent among the alternative approaches, from which at least one serves as a benchmark approach in nearly every other publication introducing a DRC alternative. One example is the Two-Layer Conflict Solving (TLCS) fusion approach proposed by L I and L OHWEG. It includes two layers to combine pieces of evidence, and possible inherent conflict is decreased during combination.

Z ADEH’s elaboration on ‘Fuzzy sets as a basis for a theory of possibility’ is rather regarded as the pioneering work on PosT [Zad78]. Instead of being a distinct framework capable of handling uncertainty, it is regarded as a unifying theory involving concepts from ProbT, DST, and FST as well as providing links between them [Wol98]. This characteristic is underlined by PosT’s ability to model epistemic as well as aleatory uncertainty [Dub06]. PosT operates on fuzzy sets, each characterised by its membership function, which acts as possibility distribution function in the scope of PosT [Zad78].

LKO+01, p. 341] Hence, decision is to be made at three layers, the individual level, group level, and organisational level. In addition, conflict is unavoidable and has to be considered and solved in all of these levels. Appropriate information exchange between individuals is necessary in order to decide effectively on group level. 4 Scientific Gap The previous sections appraised the scientific state of the art in fields of research relevant to information fusion. These findings are assessed in the following with respect to information fusion of physical signals acquired by technical sensors, which are prone to imprecision and uncertainty, and might be in conflict.

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