نتایج جستجو برای: generalized dempster shafer theorys fuzzy morphology
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Kucing merupakan salah satu hewan yang banyak dipelihara oleh masyarakat. Penyakit kulit pada kucing seringkali membuat pemiliknya merasa bingung dan terkendala dalam diagnosa penyakit dipelihara. Butuh perawatan lebih untuk menjaga kesehatan perlunya pemahaman bagi pemilik mengetahui cara menangani apabila terserang kulit. Dengan adanya sistem pakar dapat diketahui apa sedang dialami tersebut ...
Multi-granularity unbalanced hesitant fuzzy linguistic term set (MGUHFLTS) is an effective expression of information, which applied in multi-attribute group decision-making (MAGDM), meanwhile Dempster-Shafer evidence theory (DSET) profound method representing and aggregating uncertain information. In order to combine the advantages from both, a new MAGDM approach based on with MGUHFLTSs propose...
Belief functions are the measure theoretical objects Dempster-Shafer evidence theory is based on. They are in fact totally monotone capacities, and can be regarded as a special class of measures of uncertainty used to model an agent?s degrees of belief in the occurrence of a set of events by taking into account different bodies of evidence that support those beliefs. In this chapter we present ...
The initial work introducing Dempster-Shafer (D-S) theory is found in Dempster (1967) and Shafer (1976). Since its introduction the very name causes confusion, a more general term often used is belief functions (both used intermittently here). Nguyen (1978) points out, soon after its introduction, that the rudiments of D-S theory can be considered through distributions of random sets. More furt...
An approach is presented to multi-expert’s opinions combination based on the Dempster-Shafer evidence theory. In the method, we use multi-expert’s knowledge as evidence, the possible value of weight as frame of discernment, expert’s evaluation to a weight on frame of discernment as basic probability assignment, and use D-S rule combining to give fusion basic probability assignment m. Finally, t...
In this paper we propose a new knowledge model using the Dempster-Shafer’s evidence theory for image segmentation and fusion. The proposed method is composed essentially of two steps. First, mass distributions in Dempster-Shafer theory are obtained from the membership degrees of each pixel covering the three image components (R, G and B). Each membership’s degree is determined by applying Fuzzy...
Recently, a new pattern classiier using neighborhood information in the framework of the Dempster-Shafer theory of evidence was introduced 3, 2]. This approach consists in considering each neighbor of a pattern to be classiied as an item of evidence supporting certain hypotheses concerning the class membership of that pattern. In this paper, an adaptive version of this method is proposed, in wh...
The problem of creating the map of an unknown environment by mobile robot control system is considered using range readings obtained by ultrasonic range finder. A grid-based representation of a robot working space is chosen. The goal is the determination of occupied and empty areas in the working environment, which is not a simple problem due the uncertainty introduced by the sensory system. Th...
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