Artificial Intelligence

1004 Submissions

[9] viXra:1004.0139 [pdf] submitted on 10 Mar 2010

Introduction to N-Adaptive Fuzzy Models to Analyze Public Opinion on Aids

Authors: W. B. Vasantha Kandasamy, Florentin Smarandache
Comments: 236 pages.

AIDS is not simply a physical malady, it is also an artifact of social and sexual transgression, violated taboo, fractured identity-political and personal projections. Its key words are primarily the property of the powerful. AIDS: Keywords - is my attempt to identify and contest some of the assumptions underlying our current 'knowledge'. In this effort I am joined by many AIDS activists including people living with AIDS - Acquired Immuno Deficiency Syndrome.
Category: Artificial Intelligence

[8] viXra:1004.0138 [pdf] submitted on 10 Mar 2010

General Combination Rules for Qualitative and Quantitative Beliefs

Authors: Arnaud Martin, Christophie Osswald, Jean Dezert, Florentin Smarandache
Comments: 23 pages.

Martin and Osswald [15] have recently proposed many generalizations of combination rules on quantitative beliefs in order to manage the conflict and to consider the specificity of the responses of the experts. Since the experts express themselves usually in natural language with linguistic labels, Smarandache and Dezert [13] have introduced a mathematical framework for dealing directly also with qualitative beliefs. In this paper we recall some element of our previous works and propose the new combination rules, developed for the fusion of both qualitative or quantitative beliefs.
Category: Artificial Intelligence

[7] viXra:1004.0094 [pdf] submitted on 19 Apr 2010

Neutrosophy in Situation Analysis

Authors: Anne-Laure Jousselme, Patrick Maupin
Comments: 7 pages.

In situation analysis (SA), an agent observing a scene receives information from heterogeneous sources of information including for example remote sensing devices, human reports and databases. The aim of this agent is to reach a certain level of awareness of the situation in order to make decisions. For the purpose of applications, this state of awareness can be conceived as a state of knowledge in the classical epistemic logic sense. Considering the logical connection between belief and knowledge, the challenge for the designer is to transform the raw, imprecise, conflictual and often paradoxical information received from the different sources into statements understandable by both man and machines. Hence, quantitative (i.e. measuring the world) and qualitative (i.e. reasoning about the structure of the world) information processing coexist in SA. A great challenge in SA is the conciliation of both aspects in mathematical and logical frameworks. As a consequence, SA applications need frameworks general enough to take into account the different types of uncertainty and information present in the SA context, doubled with a semantics allowing meaningful reasoning on situations. The aim of this paper is to evaluate the capacity of neutrosophic logic and Dezert- Smarandache theory (DSmT) to cope with the ontological and epistemological problems of SA.
Category: Artificial Intelligence

[6] viXra:1004.0057 [pdf] submitted on 9 Apr 2010

Importance of Sources Using the Repeated Fusion Method and the Proportional Conflict Redistribution Rules #5 and #6

Authors: Florentin Smarandache, Jean Dezert
Comments: 6 pages

We present in this paper some examples of how to compute by hand the PCR5 fusion rule for three sources, so the reader will better understand its mechanism. We also take into consideration the importance of sources, which is different from the classical discounting of sources.
Category: Artificial Intelligence

[5] viXra:1004.0052 [pdf] submitted on 8 Mar 2010

A Simple Proportional Conflict Redistribution Rule

Authors: Florentin Smarandache, Jean Dezert
Comments: 21 pages

One proposes a first alternative rule of combination to WAO (Weighted Average Operator) proposed recently by Josang, Daniel and Vannoorenberghe, called Proportional Conflict Redistribution rule (denoted PCR1). PCR1 and WAO are particular cases of WO (the Weighted Operator) because the conflicting mass is redistributed with respect to some weighting factors. In this first PCR rule, the proportionalization is done for each non-empty set with respect to the non-zero sum of its corresponding mass matrix - instead of its mass column average as in WAO, but the results are the same as Ph. Smets has pointed out. Also, we extend WAO (which herein gives no solution) for the degenerate case when all column sums of all non-empty sets are zero, and then the conflicting mass is transferred to the non-empty disjunctive form of all non-empty sets together; but if this disjunctive form happens to be empty, then one considers an open world (i.e. the frame of discernment might contain new hypotheses) and thus all conflicting mass is transferred to the empty set. In addition to WAO, we propose a general formula for PCR1 (WAO for non-degenerate cases). Several numerical examples and comparisons with other rules for combination of evidence published in literature are presented too. Another distinction between these alternative rules is that WAO is defined on the power set, while PCR1 is on the hyper-power set (Dedekind's lattice). A nice feature of PCR1, is that it works not only on non-degenerate cases but also on degenerate cases as well appearing in dynamic fusion, while WAO gives the sum of masses in this cases less than 1 (WAO does not work in these cases). Meanwhile we show that PCR1 and WAO do not preserve unfortunately the neutrality property of the vacuous belief assignment though the fusion process. This severe drawback can however be easily circumvented by new PCR rules presented in a companion paper.
Category: Artificial Intelligence

[4] viXra:1004.0009 [pdf] replaced on 31 Aug 2010

Neutrosophic Set - A Generalization of the Intuitionistic Fuzzy Set

Authors: Florentin Smarandache
Comments: 7 pages

In this paper one generalizes the intuitionistic fuzzy set (IFS), paraconsistent set, and intuitionistic set to the neutrosophic set (NS). Many examples are presented. Distinctions between NS and IFS are underlined.
Category: Artificial Intelligence

[3] viXra:1004.0008 [pdf] replaced on 31 Aug 2010

Neutrosophic Logic - A Generalization of the Intuitionistic Fuzzy Logic

Authors: Florentin Smarandache
Comments: 7 pages

In this paper one generalizes the intuitionistic fuzzy logic (IFL) and other logics to neutrosophic logic (NL). The differences between IFL and NL (and the corresponding intuitionistic fuzzy set and neutrosophic set) are pointed out.
Category: Artificial Intelligence

[2] viXra:1004.0005 [pdf] replaced on 21 Jul 2011

Uniform and Partially Uniform Redistribution Rules

Authors: Florentin Smarandache, Jean Dezert
Comments: 4 pages

This short paper introduces two new fusion rules for combining quantitative basic belief assignments. These rules although very simple have not been proposed in literature so far and could serve as useful alternatives because of their low computation cost with respect to the recent advanced Proportional Conflict Redistribution rules developed in the DSmT framework.
Category: Artificial Intelligence

[1] viXra:1004.0004 [pdf] submitted on 8 Mar 2010

Neutrosophic Logic Based Semantic Web Services Agent

Authors: Haibin Wang, Yan-Qing Zhang, Rajshekhar Sunderraman, Florentin Smarandache
Comments: 15 pages

In this paper we propose a framework called Semanic Web Services (see paper for full abstract)
Category: Artificial Intelligence