In this paper, we propose an approach for assigning an interest level to the goals of a planetary rover. Assigning an interest level to goals, allows the rover autonomously to transform and reallocate the goals. The interest level is defined by data-fusing payload and navigation information. The fusion yields an"interest map", that quantifies the level of interest of each area around the rover....

A combination handwritten signature veri ̄cation system is proposed for managing con°icts provided from each individual o®-line and on-line support vector machine (SVM), respectively. Basically, the system is divided into three parts: (i) O®-line veri ̄cation system, (ii) on-line veri ̄cation system and (iii) combination module using belief function theory. The proposed framework allows combining ...

In image classification, merging the opinion of several human experts is very important for different tasks such as the evaluation or the training. Indeed, the ground truth is rarely known before the scene imaging. We propose here different models in order to fuse the informations given by two or more experts. The considered unit for the classification, a small tile of the image, can contain on...

s of papers were submitted to the following web site,provided by The York University, from Toronto, Canada, at:http://at.yorku.ca/cgi-bin/amca/submit/cagu-01, and they can be viewed athttp://at.yorku.ca/cgi-bin/amca/cagu-01. Invited Speakers: J. Dezert (France), Charles Le (US), I.Stojmenovic (Canada). For more information on neutrosophics see the below links:• 0. Introducti...

In image classification, merging the opinion of several human experts is very important for different tasks such as the evaluation or the training. Indeed, the ground truth is rarely known before the scene imaging. We propose here different models in order to fuse the informations given by two or more experts. The considered unit for the classification, a small tile of the image, can contain on...

Abstract – The management and combination of uncertain, imprecise, fuzzy and even paradoxical or high conflicting sources of information has always been, and still remains today, of primal importance for the development of reliable modern information systems involving artificial reasoning. In this introduction, we present a survey of our recent theory of plausible and paradoxical reasoning, kno...

The Dezert-Smarandache theory of plausible and paradoxical reasoning is based on the premise that some elements θi of a frame Θ have a non-empty intersection. These elements are called exhaustive. In number theory, this property is observed only in non-Archimedean number systems, for example, in the ring Zp of p-adic integers, in the field Q of hyperrational numbers, in the field R of hyperreal...

Quite often, during long-distance pipe leakage, critical decisions have to be made quickly and with as much certainty as possible using conflicting and uncertain sources of information. Key to providing quality decision options is an appropriate method of combining, or fusing, these heterogeneous evidence sources. Since the development of belief function theory introduced by Shafer in the 1970s...

This paper presents an integrated image fusion and match score fusion of multispectral face images. The fusion of visible and long wave infrared face images is performed using 2ν-Granular SVM which uses multiple SVMs to learn both the local and global properties of the multispectral face images at different granularity levels and resolution. The 2ν-GSVM performs accurate classification which is...