Last edited by Shakakinos
Friday, August 7, 2020 | History

8 edition of Uncertain Logics, Variables and Systems found in the catalog.

Uncertain Logics, Variables and Systems

by Zdzislaw Bubnicki

  • 390 Want to read
  • 37 Currently reading

Published by Springer .
Written in English

    Subjects:
  • Automatic control engineering,
  • Mathematics for scientists & engineers,
  • Decision Support Systems (Engineering),
  • Mathematical And Symbolic Logic,
  • Technology,
  • Business / Economics / Finance,
  • Science/Mathematics,
  • Decision Making & Problem Solving,
  • General,
  • Business & Economics / Decision-Making & Problem Solving,
  • Computers-General,
  • Medical-General,
  • Technology / Electronics / General,
  • Engineering - Industrial,
  • Logic,
  • Decision support systems,
  • Logic, Symbolic and mathematic,
  • Logic, Symbolic and mathematical,
  • System analysis

  • Edition Notes

    Lecture Notes in Control and Information Sciences

    The Physical Object
    FormatPaperback
    Number of Pages136
    ID Numbers
    Open LibraryOL12775109M
    ISBN 103540432353
    ISBN 109783540432357

    4 Uncertain Logics and Variables 63 Uncertain Logic 63 Other Versions of Uncertain Logic 67 Uncertain Variables 71 Additional Description of Uncertain Variables 76 Functions of Uncertain Variables 78 5 Application of Uncertain Variables 85 Analysis Problem for a Functional Plant A LOGIC FOR UNCERTAIN PROBABILITIES AUDUN JØSANG Distributed Systems Technology Centre Faculty of Information Technology, Queensland University of Technology GPO Box , Brisbane, Qld , Australia Received February Revised February We first describe a metric for uncertain probabilities called opinion, and subsequently a set of.

    Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions Jerry M. Mendel University of Southern California Los Angeles, CA PH PTR Prentice Hall PTR Upper Saddle River, NJ ISBN *^ Inference within axiomatic systems: the example of S5 Inference within natural deduction systems The theoretical warrant of the method of direct proof 6. A PHILOSOPHICAL PERSPECTIVE ON LOGIC AS A WHOLE The indispensability of modal concepts within propositional logics Problems about the reduction principles

    A variable in a logic programming language which is initially undefined ("unbound") but may get bound to a value or another logic variable during unification of the containing clause with the current value to which it is bound may contain other variables which may themselves be bound or unbound. For example, when unifying the clause. The 3rd book by Christopher L. Bennett in his "Rise of the Federation" series, "Uncertain Logic" is a book that continues our look at the early days of the Federation by spending its time in the entire first half of with 3 parallel story lines that never intersect for the most part. Story #1 involves Reed's ship the Pioneer as they /5.


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Uncertain Logics, Variables and Systems by Zdzislaw Bubnicki Download PDF EPUB FB2

The ideas of uncertain variables based on uncertain logics have been introduced and developed for a wide class of uncertain systems. The purpose of this mo- graph is to present basic concepts, definitions and results concerning the uncertain variables and their applications to analysis and decision problems in uncertain systems described by traditional mathematical models and by knowledge rep Cited by: The ideas of uncertain variables based on uncertain logics have been introduced and developed for a wide class of uncertain systems.

The purpose of this mo- graph is to present basic concepts, definitions Variables and Systems book results concerning the uncertain variables and their applications to analysis and decision problems in uncertain systems described by traditional mathematical models and by knowledge rep.

The ideas of uncertain variables based on uncertain logics have been introduced and developed for a wide class of uncertain systems. Rating: (not yet rated) 0 with reviews - Be the first.

Get this from a library. Uncertain logics, variables, and systems. [Zdzisław Bubnicki] -- Uncertainty is one of the main features of complex and intelligent decision-making systems.

There exists a great variety of definitions and descriptions of uncertain systems. The ideas of uncertain. The uncertain variables are related to random and fuzzy variables, but there are also essential differences. The comparison with random and fuzzy variables will be presented in Chapter 6.

The definitions of the uncertain variables are based on uncertain logics described in Sects. and It is worth noting that the uncertain logics and Author: Zdzislaw Bubnicki. Table of Contents 1 Introduction to Uncertain Systems.- 2 Relational Systems.- 3 Application of Random Variables.- 4 Uncertain Logics and Variables.- 5 Application of Uncertain Variables.- 6 Fuzzy Variables, Analogies and Soft Variables.- 7 Systems with Logical Knowledge Representation.- 8 Dynamical Systems.- 9 Parametric Optimization of Decision Systems.- 10 Stability of Uncertain Dynamical Price: $ Zdzisław Bubnicki (born 17 June in Lwów, died 12 March in Wrocław) was a Polish scientist, a specialist in the fields of automation and computer main scientific interests concerned: decision theory, control theory, system identification, pattern recognition, expert systems, and knowledge-based systems, complexes of operations, and methodology of computer mater: Silesian University of Technology, Gliwice.

1 Introduction to Uncertain Systems.- 2 Relational Systems.- 3 Application of Random Variables.- 4 Uncertain Logics and Variables.- 5 Application of Uncertain Variables.- 6 Fuzzy Variables. The definitions of the uncertain variables are based on uncertain logics described in Sects.

and It is worth noting that the uncertain logics and variables are defined for any metric. The book provides guidelines for using all these systems. The book is self-contained and progresses from the most basic concepts of First-Order Logic to the most advanced issues of.

The idea of uncertain variables, introduced and developed in recent years, is specially oriented for analysis and decision problems in a class of uncertain systems described by classical models or relational knowledge representations with unknown parameters characterized by an expert (Bubnicki, a, b,).Cited by: 4.

Analysis and Decision Making in Uncertain Systems. Authors: Bubnicki, Zdzislaw It offers a unique and original treatment of uncertainty captured in the form of uncertain variables Overall, the book is a comprehensive, highly authoritative, and lucidly written research treatise on uncertain systems – highly recommended to all involved Brand: Springer-Verlag London.

[READ] Online Control of Sandwich Nonlinear Systems (Lecture Notes in Control and Information. Uncertain random variable and chance theory were introduced to model the uncertain random compound systems. As the same as random variable and uncertain variable, expected value is the average of uncertain random variable in the sense of chance measure and the variance of uncertain random variable provides a degree of spread of the distribution around its expected by: descriptions of uncertain systems (see e.g.

[9, 10, 12, 1]). The idea of so called uncertain variables based on uncertain logics has been introduced and developed as a tool for analysis and decision problems in a class of uncertain systems described by traditional models or by relational knowledge representations.

The book focuses on the processes, technologies, developments, and approaches involved in artificial intelligence. The selection first offers information on combining multiple-valued logics in modular expert systems; constraint propagation with imprecise conditional probabilities; and Bayesian networks applied to therapy monitoring.

Bifurcation Control Theory and Applications Lecture Notes in Control and Information Sciences PDF PD. Read Uncertain Logics Variables and Systems (Lecture Notes in Control and Information Sciences) Tansypulos.

[Read Book] Control of Sandwich Nonlinear Systems (Lecture Notes in Control and Information. Logic meets Probability: Towards Explainable AI Systems for Uncertain Worlds Vaishak Belle University of Edinburgh United Kingdom [email protected] Abstract Logical AI is concerned with formal languages to represent and reason with qualitative specications; statistical AI is concerned with learning quanti-tative specications from data.

Introductory textbook on rule-based fuzzy logic systems, type-1 and type-2, that for the first time explains how fuzzy logic can MODEL a wide range of uncertainties and be designed to minimize their effects.

This is an expanded and richer fuzzy logic. Includes case studies, more than worked out examples, more than exercises, and a link to free software.

This book makes no pretense of giving to the world a new theory of the intellectual operations. Its claim to attention, if it possess any, is grounded on the fact that it is an attempt, not to supersede, but to embody and systematize, the best ideas which have been either promulgated on its subject by speculative writers, or conformed to by Cited by:.

Description. For courses in Neural Networks and Fuzzy Systems; Fuzzy Systems/Control; Fuzzy Logic. The first book of its kind, this text explains how all kinds of uncertainties can be handled within the framework of a common theory and set of design tools—fuzzy logic systems—by moving the original fuzzy logic to the next level—type-2 fuzzy : Paper.The aim of a probabilistic logic (also probability logic and probabilistic reasoning) is to combine the capacity of probability theory to handle uncertainty with the capacity of deductive logic to exploit structure of formal result is a richer and more expressive formalism with a broad range of possible application areas.

Probabilistic logics attempt to find a natural extension of.Uncertain logics, variables and systems / Z. Bubnicki. T B83 Co-op: a group decision support system for cooperative multiple criteria group decision making / Tung X.

Bui.