In this work, two soft-decision fusion rules, which are respectively named the maximum a priori (MAP) and the suboptimal minimum Euclidean distance (MED) fusion rules, are designed based on a given employed sensor code and associated local classification. Their performance comparison with the distributed classification fusion using soft-decision decoding (DCSD) proposed in an earlier work is al...

A change detection approach for SAR images based on contourlet image fusion and fuzzy clustering .In this method difference image is generated from log ratio and mean ratio images by image fusion technique. In order to restrain the background information and enhance the information of changed regions in the fused difference image, wavelet fusion rules and contourlet fusion rules based on an ave...

There is an increasing need for technology for merging semi-structured information (such as structured reports) from heterogeneous sources. For this, we advocate a knowledgebased approach when the information to be merged incorporates diverse, and potentially complex, conflicts (inconsistencies). In this paper, we contrast the goals of knowledge-based merging with other technologies such as sem...

In a recent companion paper we have related the operation of simple data fusion rules used in virtual screening to a multiple integral formalism. In this paper we extend these ideas to the analysis of data fusion methods applied to real data. We examine several cases of similarity fusion using different coefficients and different representations and consider the reasons for positive or negative...

The problem of fusing decisions transmitted over fading and noisy channels in a wireless sensor network is revisited. In a previous work, starting with the assumption of perfect channel knowledge, an optimal likelihood ratio (LR) based fusion rule was developed along with three suboptimum statistics. In this paper, we present a new LR based fusion rule which requires only the knowledge of chann...

Image fusion is commonly described as the task of enhancing the perception of a scene by combining information captured by different modality sensors. The pyramid decomposition and the Dual-Tree Wavelet Transform have been employed as analysis and synthesis tools for image fusion by the fusion community. Using various fusion rules, one can combine the important features of the input images in t...

We completely determine fusion rules for irreducible modules of the charge conjugation orbifold.

The subfactor approach to modular invariants gives insight into the fusion rule structure of the modular invariants.

In this paper, we develop a method to find the uncertain consequent by fusing the uncertain antecedent and the uncertain implication rule. In particular with Dempster-Shafer theoretic models utilized to capture the uncertainty intervals associated with the antecedent and the rule itself, we derive bounds on the confidence interval associated with the rule consequent. We derive inequalities for ...

In this paper we propose five versions of a Proportional Conflict Redistribution rule (PCR) for information fusion together with several examples. From PCR1 to PCR2, PCR3, PCR4, PCR5 one increases the complexity of the rules and also the exactitude of the redistribution of conflicting masses. PCR1 restricted from the hyper-power set to the power set and without degenerate cases gives the same r...