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Approximate reasoning in scheduling

Wolfgang Slany
1998 International Journal of Approximate Reasoning  
As the guest editor of this special issue, I encouraged submissions of papers that report on advances in the core areas of approximate reasoning in the context of scheduling, and on insights derived from  ...  One solution that has recently drawn increased interest is the use of approximate reasoning techniques both for optimization algorithms as well as to model the problem and its components in order to solve  ...  Reason. 19 (1998) suggestions concerning the accepted papers. I am most thankful to Prof.  ... 
doi:10.1016/s0888-613x(98)10004-x fatcat:3pqahao7bjhspj6s3efotppuwi

Extensionality based approximate reasoning

D. Boixader, J. Jacas
1998 International Journal of Approximate Reasoning  
The aim of this paper is to analyze Approximate Reasoning (AR) through extensionality with respect to the natural T-indistinguishability operator, by considering the indistinguishability level between  ...  fuzzy sets as a formal measure of its degree of similarity, resemblance or closeness, having in all these terms an intuitive meaning.  ...  An analysis of approximate reasoning via T-indistinguishability operator Roughly speaking, the problem of Approximate Reasoning (AR) could be stated as follows: Given a rule "ifA then B" how can we extend  ... 
doi:10.1016/s0888-613x(98)00018-8 fatcat:hfdbuulx4vgk5pjxgej4rexwsy

Approximate reasoning and conflict resolution

Ronald R. Yager
2000 International Journal of Approximate Reasoning  
Our focus in this work is to provide mechanisms to enable the fuzzy set based approximate reasoning (AR) system to deal with con¯icts in knowledge.  ...  The basic concepts of the theory of AR are introduced. The issue of con¯ict is raised and some of its bizarre eects are described.  ...  The fuzzy systems modeling technique which is the foundation of the very successful technology used in the International Journal of Approximate Reasoning 25 (2000) 15±42 construction  ... 
doi:10.1016/s0888-613x(00)00045-1 fatcat:ogfwgl6oizgxdlduf64wlajgiq

Approximate reasoning and prototypical knowledge

Pietro Torasso, Luca Console
1989 International Journal of Approximate Reasoning  
The aim of this paper is to present a general technique for performing approximate reasoning in systems based on prototypicai knowledge representation.  ...  We extend some of the formalisms currently used in knowledge representation to the case of uncertain knowledge by defining a more flexible mechanism for representing admissible values of a given feature  ...  The research described in this paper has been partially supported by CNR (Strategic Project on Expert Systems) and Ministero Pubblica Istruzione of Italy.  ... 
doi:10.1016/0888-613x(89)90004-2 fatcat:2sgcb7fvtrg7jj4d5jcuug52my

Approximate reasoning by linear rule interpolation and general approximation

LászlóT. Kóczy, Kaoru Hirota
1993 International Journal of Approximate Reasoning  
Various methods of analogical reasoning available in the literature are reviewed.  ...  The mapping style interpretation of fuzzy rules leads to the idea of approximating the fuzzy mapping by using classical approximation techniques.  ...  Y~ is approximated by As a matter of course, the linear regression gives a very rough approximation of ~'(x) if it is not linear, so it is reasonable to calculate the regression lines only locally (in  ... 
doi:10.1016/0888-613x(93)90010-b fatcat:b5syfq2mijc7rffhnd4rhiwio4

An approximate reasoning system: Design and implementation

Zhang Zili
1993 International Journal of Approximate Reasoning  
Approaches for improving the inference speed of approximate reasoning are also discussed.  ...  In recent years, many papers discussing the problems of approximate reasoning based on fuzzy logic appeared, but only a few were involved in practical implementation.  ...  Zadeh [1] developed a theory of approximate reasoning (AR) based on fuzzy logic.  ... 
doi:10.1016/0888-613x(93)90018-9 fatcat:7iwo5yli6naqxfvrvpkf7prwpi

Comparing approximate reasoning and probabilistic reasoning using the Dempster–Shafer framework

Ronald R. Yager
2009 International Journal of Approximate Reasoning  
We consider two approaches, one using the fuzzy set based theory of approximate reasoning and the other using probabilistic reasoning.  ...  Both of these approaches allow the inclusion of imprecise granular type information. The inferred values from each of these methods are then represented using a Dempster-Shafer belief structure.  ...  Yager / International Journal of Approximate Reasoning 50 (2009) 812-821  ... 
doi:10.1016/j.ijar.2009.03.003 fatcat:gaxrqle2djadtdpwaplafzq6q4

Approximate reasoning by analogy to answer null queries

Soumitra Dutta
1991 International Journal of Approximate Reasoning  
In this paper, we develop the theoretical basis for the application of analogical reasoning to obtain approximate answers for null queries in the context of a fuzzy relational data model.  ...  Our aim in this paper is to develop a theoretical model for obtaining by analogical reasoning, Q'(D), where Q'(D) is an approximation to Q(D), Q being a null query.  ...  ACKNOWLEDGMENTS This research was performed while I was a graduate student in the EECS Department of the University of California at Berkeley. The help and support given by Prof. L. A.  ... 
doi:10.1016/0888-613x(91)90018-h fatcat:vlbpcu2kpnabbdqkibppj2dol4

Approximate spatial reasoning: Integrating qualitative and quantitative constraints

Soumitra Dutta
1991 International Journal of Approximate Reasoning  
Approximate reasoning refers in general to a broad class of solution techniques where either the inference procedure or the environment for inference is imprecise.  ...  Algorithms for approximate spatial reasoning are important for coping with the widespread imprecision and uncertainty in the real worM.  ...  The help and guidance of Prof. Zadeh and other members of the "fuzzy group" at UC Berkeley is gratefully acknowledged.  ... 
doi:10.1016/0888-613x(91)90015-e fatcat:r2umuunjr5etndiy4qjwkxhttq

Approximate reasoning in the algebra of bounded rational agents

Eugene Eberbach
2008 International Journal of Approximate Reasoning  
Bounded rational agents look for approximate optimal decisions under bounded resources and uncertainty.  ...  The same approach can be used to find solutions of the totally optimization problem, representing the tradeoff between the best quality and least costly solutions.  ...  Acknowledgments Comments of anonymous reviewers are appreciated. This paper is dedicated to memory of Zdzislaw Pawlak, the inventor of rough sets, who always encouraged me to work on the $-calculus.  ... 
doi:10.1016/j.ijar.2006.09.014 fatcat:32jvwqqct5as3ol2k3rw2m7f2y

Approximate case-based reasoning on neural networks

Zuliang Shen, Ho Chung Lui, Liya Ding
1994 International Journal of Approximate Reasoning  
In this paper, based on the deeper analysis of the features of fuzzy logic and approximate reasoning, the concept of approximate case-based reasoning (ACBR) is introduced.  ...  The feature is called the rule-case duality of fuzzy rules in approximate reasoning. In the sense, an approximate reasoning done by using those fuzzy rules is the approximate case-based reasoning.  ...  Since the rules in approximate reasoning are not universally The rule-case duality produces an important feature of approximate reasoning.  ... 
doi:10.1016/0888-613x(94)90010-8 fatcat:4mjkamilzncptmekgg675hyt5u

Rough mereology: A new paradigm for approximate reasoning

L. Polkowski, A. Skowron
1996 International Journal of Approximate Reasoning  
We are concerned with formal models of reasoning under uncertainty.  ...  We propose rough mereology as a foundation for approximate reasoning about complex objects.  ...  INTRODUCTION We present a formal model of approximate reasoning about processes of synthesis of complex systems.  ... 
doi:10.1016/s0888-613x(96)00072-2 fatcat:f2nq3a36zvbwfa4v4qg7kyw7ay

Four methods of approximate reasoning with interval-valued fuzzy sets

I.B. Turksen
1989 International Journal of Approximate Reasoning  
An interval-valued fuzzy set approach is proposed for approximate reasoning. There are a number of possible interpretations of the interval-valued fuzzy modus ponens. Four of these are discussed.  ...  The results of this approach are shown to fairly well approximate the results of currently accepted methods of aggregate production planning.  ...  ACKNOWLEDGMENTS This work is supported in part by the Natural Science and Engineering Research Council of Canada under grant number A7698.  ... 
doi:10.1016/0888-613x(89)90002-9 fatcat:5jv2us6ctfftxjx6mfz4atnnda

The reasonableness of necessity

Paul Snow
2003 International Journal of Approximate Reasoning  
Necessity syntactically restates some probability distri-butionsÕ orderings and satisfies CoxÕs "probabilistic" reasonableness standards, as possibility is now known to do.  ...  Moreover, in domains like the evaluation of scientific hypotheses, mathematical conjectures, and judicial findings, the negation of a hypothesis, needed to define necessity, may be ill-specified.  ...  Journal of Approximate Reasoning 33 (2003) 287-301 P.  ... 
doi:10.1016/s0888-613x(03)00019-7 fatcat:3rsjdt4k2zfqpaxjzaj7qoukrq

A resolution-based system for symbolic approximate reasoning

Hsing-Tai Chung, Daniel G. Schwartz
1995 International Journal of Approximate Reasoning  
In addition, it accornmodates formulation of certain aspects of approximate reasoning that are not easily expressed in terms of fuzzy sets, o1" where the notion of a fuzzy set might not naturally apply  ...  The aim of this paper is twofold. First, it continues the development of a symbolic approach to approximate reasoning as an alternative to the well-known semantic approaches based on fuzzy sets.  ...  Subsequent years brought forth numerous efforts to implement aspects of the theory of approximate reasoning in forms suitable for use in expert reasoning systems.  ... 
doi:10.1016/0888-613x(95)00075-r fatcat:t222sbkvszh6xmeirdsnllnsz4
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