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2501
An Advanced Certain Trust Model Using Fuzzy Logic and Probabilistic Logic theory
In: http://thesai.org/Downloads/Volume3No12/Paper_26-An_Advanced_Certain_Trust_Model_Using_Fuzzy_Logic_and_Probabilistic_Logic_theory.pdf
Abstract: Abstract—Trustworthiness especially for service oriented system is very important topic now a day in IT field of the whole world. Certain Trust Model depends on some certain values given by experts and developers. Here, main parameters for calculating trust are certainty and average rating. In this paper we have proposed an Extension of Certain Trust Model, mainly the representation portion based on probabilistic logic and fuzzy logic. This extended model can be applied in a system like cloud computing, internet, website, e-commerce, etc. to ensure trustworthiness of these platforms. The model uses the concept of fuzzy logic to add fuzziness with certainty and average rating to calculate the trustworthiness of a system more accurately. We have proposed two new parameters- trust T and behavioral probability P, which will help both the users and the developers of the system to understand its present condition easily. The linguistic variables are defined for both T and P and then these variables are implemented in our laboratory to verify the proposed trust model. We represent the trustworthiness of test system for two cases of evidence value using Fuzzy Associative Memory (FAM). We use inference rules and defuzzification method for verifying the model.
Keyword: Certain Logic; Defuzzification; FAM rule; Fuzzification; Fuzzy Logic; Inference Rules; Probabilistic Logic
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.302.9912
http://thesai.org/Downloads/Volume3No12/Paper_26-An_Advanced_Certain_Trust_Model_Using_Fuzzy_Logic_and_Probabilistic_Logic_theory.pdf
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2502
P.V.S.S.Gangadhar
In: http://www.ijcse.com/docs/INDJCSE12-03-02-117.pdf
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2503
[joint work with Angelika Port]
In: http://staff.science.uva.nl/%7Emaloni/handout-MIT.pdf
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2504
Document and Corpus Level Inference For Unsupervised and Transductive Learning of Information Structure of Scientific Documents
In: http://www.cl.cam.ac.uk/%7Err439/papers/283_Paper.pdf
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2505
Secure Software System Using Fuzzy Logic
In: http://www.caesjournals.org/spluploads/IJCAES-CNS-2011-140.pdf
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2506
Linked Hypernyms: Enriching DBpedia with Targeted Hypernym Discovery
In: http://www.websemanticsjournal.org/index.php/ps/article/viewFile/386/407/
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2507
London WC2R 2LS
In: http://www.cs.rhul.ac.uk/home/alexc/papers/clark13a.pdf
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2508
J. M. Bernardo. Bayesian Statistics BAYESIAN STATISTICS ∗
In: http://www.uv.es/bernardo/BayesStat.pdf
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2509
Evaluation of the wildfire ignition risk by the aid of fuzzy logic
In: http://www.ucgis.org/summer2007/studentpapers/project_ucgis_update3_li_rongxia.pdf
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2510
Machine Translation Using Automatically Inferred Construction-based Correspondence and Language Models ⋆
In: http://kybele.psych.cornell.edu/~edelman/Edelman-Solan-PACLIC09.pdf
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2511
Characterizing Motherese: On the Computational Structure of Child-Directed Language
In: http://www.wisdom.weizmann.ac.il/~edelman/Archive/cogsci07-final.pdf
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2512
A Static Type Inference for Python
In: http://www.dcc.fc.up.pt/%7Enam/publica/artigoDYLA.pdf
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2513
Search-Based Inference of Dialect Grammars
In: http://www.rcost.unisannio.it/mdipenta/papers/softcomp08.pdf
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2514
Ecological Inference and Aggregate Analysis of Elections.
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2515
Documentation of Bayesian parameter estimation Web Service
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2516
The influence of habitats on female mobility in Central and Western Africa inferred from human mitochondrial variation
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