A Novel Decision Probability Transformation Method Based On Belief Interval

Download A Novel Decision Probability Transformation Method Based On Belief Interval full books in PDF, epub, and Kindle. Read online A Novel Decision Probability Transformation Method Based On Belief Interval ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

A novel decision probability transformation method based on belief interval

Author : Zhan Deng
Publisher : Infinite Study
ISBN 13 :
Total Pages : 11 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis A novel decision probability transformation method based on belief interval by : Zhan Deng

Download or read book A novel decision probability transformation method based on belief interval written by Zhan Deng and published by Infinite Study. This book was released on with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Dempster–Shafer evidence theory, the basic probability assignment (BPA) can effectively represent and process uncertain information. How to transform the BPA of uncertain information into a decision probability remains a problem to be solved. In the light of this issue, we develop a novel decision probability transformation method to realize the transition from the belief decision to the probability decision in the framework of Dempster–Shafer evidence theory. The newly proposed method considers the transformation of BPA with multi-subset focal elements from the perspective of the belief interval, and applies the continuous interval argument ordered weighted average operator to quantify the data information contained in the belief interval for each singleton. Afterward, we present an approach to calculate the support degree of the singleton based on quantitative data information. According to the support degree of the singleton, the BPA of multi-subset focal elements is allocated reasonably. Furthermore, we introduce the concepts of probabilistic information content in this paper, which is utilized to evaluate the performance of the decision probability transformation method. Eventually, a few numerical examples and a practical application are given to demonstrate the rationality and accuracy of our proposed method.

Transformation method of decision-making probability based on correlation degree

Author : ZHAO Yu-xin
Publisher : Infinite Study
ISBN 13 :
Total Pages : 7 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis Transformation method of decision-making probability based on correlation degree by : ZHAO Yu-xin

Download or read book Transformation method of decision-making probability based on correlation degree written by ZHAO Yu-xin and published by Infinite Study. This book was released on with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: To slove the problem in the transformation of basic probability assignment to decision-making probability, this paper proposed a novel transformation method based on correlation degree. The correlation degree between basic probability assignment of singleton proposition and decision-making probability was used to evaluate the transformation method, and the decision-making probability of each proposition was achieved by linear combination, which was the transformation method of decision-making probability based on proportional belief and proportional plausibility. The proposed method was compared to the other usual methods with an example. The experimental result shows that the proposed method is more reasonable and eﬀective.

Machine Learning for Cyber Security

Author : Yuan Xu
Publisher : Springer Nature
ISBN 13 : 3031201027
Total Pages : 707 pages
Book Rating : 4.0/5 (312 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning for Cyber Security by : Yuan Xu

Download or read book Machine Learning for Cyber Security written by Yuan Xu and published by Springer Nature. This book was released on 2023-01-12 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.

Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 4

Author : Florentin Smarandache
Publisher : Infinite Study
ISBN 13 :
Total Pages : 506 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 4 by : Florentin Smarandache

Download or read book Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 4 written by Florentin Smarandache and published by Infinite Study. This book was released on 2015-07-01 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fourth volume on Advances and Applications of Dezert-Smarandache Theory (DSmT) for information fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics. The contributions have been published or presented after disseminating the third volume (2009, http://fs.gallup.unm.edu/DSmT-book3.pdf) in international conferences, seminars, workshops and journals.

Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 5

Author : Florentin Smarandache
Publisher : Infinite Study
ISBN 13 :
Total Pages : 931 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 5 by : Florentin Smarandache

Download or read book Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 5 written by Florentin Smarandache and published by Infinite Study. This book was released on with total page 931 pages. Available in PDF, EPUB and Kindle. Book excerpt: This ﬁfth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different ﬁelds of applications and in mathematics, and is available in open-access. The collected contributions of this volume have either been published or presented after disseminating the fourth volume in 2015 (available at fs.unm.edu/DSmT-book4.pdf or www.onera.fr/sites/default/ﬁles/297/2015-DSmT-Book4.pdf) in international conferences, seminars, workshops and journals, or they are new. The contributions of each part of this volume are chronologically ordered. First Part of this book presents some theoretical advances on DSmT, dealing mainly with modiﬁed Proportional Conﬂict Redistribution Rules (PCR) of combination with degree of intersection, coarsening techniques, interval calculus for PCR thanks to set inversion via interval analysis (SIVIA), rough set classiﬁers, canonical decomposition of dichotomous belief functions, fast PCR fusion, fast inter-criteria analysis with PCR, and improved PCR5 and PCR6 rules preserving the (quasi-)neutrality of (quasi-)vacuous belief assignment in the fusion of sources of evidence with their Matlab codes. Because more applications of DSmT have emerged in the past years since the apparition of the fourth book of DSmT in 2015, the second part of this volume is about selected applications of DSmT mainly in building change detection, object recognition, quality of data association in tracking, perception in robotics, risk assessment for torrent protection and multi-criteria decision-making, multi-modal image fusion, coarsening techniques, recommender system, levee characterization and assessment, human heading perception, trust assessment, robotics, biometrics, failure detection, GPS systems, inter-criteria analysis, group decision, human activity recognition, storm prediction, data association for autonomous vehicles, identiﬁcation of maritime vessels, fusion of support vector machines (SVM), Silx-Furtif RUST code library for information fusion including PCR rules, and network for ship classiﬁcation. Finally, the third part presents interesting contributions related to belief functions in general published or presented along the years since 2015. These contributions are related with decision-making under uncertainty, belief approximations, probability transformations, new distances between belief functions, non-classical multi-criteria decision-making problems with belief functions, generalization of Bayes theorem, image processing, data association, entropy and cross-entropy measures, fuzzy evidence numbers, negator of belief mass, human activity recognition, information fusion for breast cancer therapy, imbalanced data classiﬁcation, and hybrid techniques mixing deep learning with belief functions as well.

Advances and Applications of DSmT for Information Fusion, Vol. IV

Author : Florentin Smarandache, Jean Dezert
Publisher : Infinite Study
ISBN 13 : 1599733242
Total Pages : 506 pages
Book Rating : 4.5/5 (997 download)

DOWNLOAD NOW!

Book Synopsis Advances and Applications of DSmT for Information Fusion, Vol. IV by : Florentin Smarandache, Jean Dezert

Download or read book Advances and Applications of DSmT for Information Fusion, Vol. IV written by Florentin Smarandache, Jean Dezert and published by Infinite Study. This book was released on 2015-03-01 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fourth volume on Advances and Applications of Dezert-Smarandache Theory (DSmT) for information fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics. The contributions (see List of Articles published in this book, at the end of the volume) have been published or presented after disseminating the third volume (2009, http://fs.gallup.unm.edu/DSmT-book3.pdf) ininternational conferences, seminars, workshops and journals.

Canonical Decomposition of Basic Belief Assignment for Decision-Making Support

Author : Jean Dezert
Publisher : Infinite Study
ISBN 13 :
Total Pages : 15 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis Canonical Decomposition of Basic Belief Assignment for Decision-Making Support by : Jean Dezert

Download or read book Canonical Decomposition of Basic Belief Assignment for Decision-Making Support written by Jean Dezert and published by Infinite Study. This book was released on 2021-08-01 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: We present a new methodology for decision-making support based on belief functions thanks to a new theoretical canonical decomposition of dichotomous basic belief assignments (BBAs) that has been developed recently. This decomposition based on proportional conflict redistribution rule no 5 (PCR5) always exists and is unique. This new PCR5-based decomposition method circumvents the exponential complexity of the direct fusion of BBAs with PCR5 rule and it allows to fuse quickly many sources of evidences. The method we propose in this paper provides both a decision and an estimation of the quality of the decision made, which is appealing for decision-making support systems.

Belief Interval-Based Distance Measures in the Theory of Belief Functions

Author : Deqiang Han
Publisher : Infinite Study
ISBN 13 :
Total Pages : 18 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis Belief Interval-Based Distance Measures in the Theory of Belief Functions by : Deqiang Han

Download or read book Belief Interval-Based Distance Measures in the Theory of Belief Functions written by Deqiang Han and published by Infinite Study. This book was released on with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: In belief functions related fields, the distance measure is an important concept, which represents the degree of dissimilarity between bodies of evidence. Various distance measures of evidence have been proposed and widely used in diverse belief function related applications, especially in performance evaluation. Existing definitions of strict and nonstrict distance measures of evidence have their own pros and cons. In this paper, we propose two new strict distance measures of evidence (Euclidean and Chebyshev forms) between two basic belief assignments based on the Wasserstein distance between belief intervals of focal elements. Illustrative examples, simulations, applications, and related analyses are provided to show the rationality and efficiency of our proposed measures for distance of evidence.

A New Probabilistic Transformation Based on Evolutionary Algorithm for Decision Making

Author : Yilin Dong
Publisher : Infinite Study
ISBN 13 :
Total Pages : 8 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis A New Probabilistic Transformation Based on Evolutionary Algorithm for Decision Making by : Yilin Dong

Download or read book A New Probabilistic Transformation Based on Evolutionary Algorithm for Decision Making written by Yilin Dong and published by Infinite Study. This book was released on with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of alternative probabilistic transformation (PT) in DS theory has emerged recently as an interesting topic, especially in decision making applications. These recent studies have mainly focused on investigating various schemes for assigning both the mass of compound focal elements to each singleton in order to obtain Bayesian belief function for realworld decision making problems. In this paper, work by us also takes inspiration from both Bayesian transformation camps, with a novel evolutionary-based probabilistic transformation (EPT) to select the qualiﬁed Bayesian belief function with the maximum value of probabilistic information content (PIC) beneﬁting from the global optimizing capabilities of evolutionary algorithms. Veriﬁcation of EPT is carried out by testing it on a set of numerical examples on 4D frames. On each problem instance, comparisons are made between the novel method and those existing approaches, which illustrate the superiority of the proposed method in this paper. Moreover, a simple constraint-handling strategy with EPT is proposed to tackle target type tracking (TTT) problem, simulation results of the constrained EPT on TTT problem prove the rationality of this modiﬁcation.

Beliefs, Interactions and Preferences

Author : Mark J. Machina
Publisher : Springer Science & Business Media
ISBN 13 : 9780792385998
Total Pages : 392 pages
Book Rating : 4.3/5 (859 download)

DOWNLOAD NOW!

Book Synopsis Beliefs, Interactions and Preferences by : Mark J. Machina

Download or read book Beliefs, Interactions and Preferences written by Mark J. Machina and published by Springer Science & Business Media. This book was released on 1999-09-30 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: "It also addresses the difficult question to incorporate several of these recent advances simultaneously into one single decision model. And it offers perspectives about the future trends of modeling such complex decision questions."--Jacket.

Inference and Decision Making Based on Interval-valued Probability

Author : Marco Wolfenson
Publisher :
ISBN 13 :
Total Pages : 306 pages
Book Rating : 4.E/5 ( download)

DOWNLOAD NOW!

Book Synopsis Inference and Decision Making Based on Interval-valued Probability by : Marco Wolfenson

Download or read book Inference and Decision Making Based on Interval-valued Probability written by Marco Wolfenson and published by . This book was released on 1979 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Belief Functions in Business Decisions

Author : Rajendra P. Srivastava
Publisher : Springer Science & Business Media
ISBN 13 : 9783790814514
Total Pages : 360 pages
Book Rating : 4.8/5 (145 download)

DOWNLOAD NOW!

Book Synopsis Belief Functions in Business Decisions by : Rajendra P. Srivastava

Download or read book Belief Functions in Business Decisions written by Rajendra P. Srivastava and published by Springer Science & Business Media. This book was released on 2002-03-25 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on applications of belief functions to business decisions. Section I introduces the intuitive, conceptual and historical development of belief functions. Three different interpretations (the marginally correct approximation, the qualitative model, and the quantitative model) of belief functions are investigated, and rough set theory and structured query language (SQL) are used to express belief function semantics. Section II presents applications of belief functions in information systems and auditing. Included are discussions on how a belief-function framework provides a more efficient and effective audit methodology and also the appropriateness of belief functions to represent uncertainties in audit evidence. The third section deals with applications of belief functions to mergers and acquisitions; financial analysis of engineering enterprises; forecast demand for mobile satellite services; modeling financial portfolios; and economics.

The Logic of Decision

Author : Richard C. Jeffrey
Publisher :
ISBN 13 :
Total Pages : 224 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis The Logic of Decision by : Richard C. Jeffrey

Download or read book The Logic of Decision written by Richard C. Jeffrey and published by . This book was released on 1965 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Technologies for Constructing Intelligent Systems 1

Author : Bernadette Bouchon-Meunier
Publisher : Physica
ISBN 13 : 379081797X
Total Pages : 404 pages
Book Rating : 4.7/5 (98 download)

DOWNLOAD NOW!

Book Synopsis Technologies for Constructing Intelligent Systems 1 by : Bernadette Bouchon-Meunier

Download or read book Technologies for Constructing Intelligent Systems 1 written by Bernadette Bouchon-Meunier and published by Physica. This book was released on 2013-03-20 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent systems enhance the capacities made available by the internet and other computer-based technologies. This book deals with the theory behind the solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of linguistic nature. Various methodologies for these cases are discussed, among which are probabilistic, possibilistic, fuzzy, logical, evidential and network-based frameworks. One purpose of the book is to consider how these methods can be used cooperatively. Topics included in the book include fundamental issues in uncertainty, the rapidly emerging discipline of information aggregation, neural networks, bayesian networks and other network methods, as well as logic-based systems.

Decision Making Under Uncertainty

Author : Mykel J. Kochenderfer
Publisher : MIT Press
ISBN 13 : 0262331713
Total Pages : 350 pages
Book Rating : 4.2/5 (623 download)

DOWNLOAD NOW!

Book Synopsis Decision Making Under Uncertainty by : Mykel J. Kochenderfer

Download or read book Decision Making Under Uncertainty written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2015-07-24 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.

Discrete Choice Methods with Simulation

Author : Kenneth Train
Publisher : Cambridge University Press
ISBN 13 : 0521766559
Total Pages : 399 pages
Book Rating : 4.5/5 (217 download)

DOWNLOAD NOW!

Book Synopsis Discrete Choice Methods with Simulation by : Kenneth Train

Download or read book Discrete Choice Methods with Simulation written by Kenneth Train and published by Cambridge University Press. This book was released on 2009-07-06 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

Elementary Decision Theory

Author : Herman Chernoff
Publisher :
ISBN 13 :
Total Pages : 394 pages
Book Rating : 4.F/5 ( download)

DOWNLOAD NOW!

Book Synopsis Elementary Decision Theory by : Herman Chernoff

Download or read book Elementary Decision Theory written by Herman Chernoff and published by . This book was released on 1959 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data processing; Introduction to probability and random variables; Utility and descriptive statistics; Uncertainty due to ignorance of the state of nature; The computation of bayes strategies; Introduction to classical statistics; Models; Testing hypotheses; Estimation and confidence intervals.