Filters

6,249 Hits in 5.5 sec

### Answer Sets in a Fuzzy Equilibrium Logic [chapter]

Steven Schockaert, Jeroen Janssen, Dirk Vermeir, Martine De Cock
2009 Lecture Notes in Computer Science
In this paper, we combine the expressiveness of both approaches, and define answer sets of arbitrary fuzzy propositional theories as models in a fuzzification of equilibrium logic.  ...  As one of the most general "classical" approaches, answer sets of arbitrary propositional theories can be defined as models in the equilibrium logic of Pearce.  ...  Acknowledgments Steven Schockaert was funded as a postdoctoral fellow of the Research Foundation -Flanders. Jeroen Janssen was funded by a joint Research Foundation -Flanders project.  ...

### Fuzzy Answer Set Programming [chapter]

Jeroen Janssen, Steven Schockaert, Dirk Vermeir, Martine de Cock
2012 Answer Set Programming for Continuous Domains: A Fuzzy Logic Approach
FASP is a combination of answer set programming and fuzzy logics which has recently been proposed.  ...  In this chapter, we present a tutorial about fuzzy answer set programming (FASP); we give a gentle introduction to its basic ideas and definitions.  ...  This result is generalized to FASP in [21] by introducing a fuzzy equilibrium logic.  ...

### Fuzzy Answer Set Programming: An Introduction [chapter]

Marjon Blondeel, Steven Schockaert, Dirk Vermeir, Martine De Cock
2013 Studies in Fuzziness and Soft Computing
FASP is a combination of answer set programming and fuzzy logics which has recently been proposed.  ...  In this chapter, we present a tutorial about fuzzy answer set programming (FASP); we give a gentle introduction to its basic ideas and definitions.  ...  This result is generalized to FASP in [21] by introducing a fuzzy equilibrium logic.  ...

### Fuzzy Answer Set Programming [chapter]

Davy Van Nieuwenborgh, Martine De Cock, Dirk Vermeir
2006 Lecture Notes in Computer Science
FASP is a combination of answer set programming and fuzzy logics which has recently been proposed.  ...  In this chapter, we present a tutorial about fuzzy answer set programming (FASP); we give a gentle introduction to its basic ideas and definitions.  ...  This result is generalized to FASP in [21] by introducing a fuzzy equilibrium logic.  ...

### Stable Models of Fuzzy Propositional Formulas [chapter]

Joohyung Lee, Yi Wang
2014 Lecture Notes in Computer Science
We introduce the stable model semantics for fuzzy propositional formulas, which generalizes both fuzzy propositional logic and the stable model semantics of Boolean propositional formulas.  ...  We show that several properties of Boolean stable models are naturally extended to this formalism, and discuss how it is related to other approaches to combining fuzzy logic and the stable model semantics  ...  However, the semantics of fuzzy logic is monotonic and is not flexible enough to handle default reasoning as allowed in answer set programming.  ...

### Fuzzy Autoepistemic Logic: Reflecting about Knowledge of Truth Degrees [chapter]

Marjon Blondeel, Steven Schockaert, Martine De Cock, Dirk Vermeir
2011 Lecture Notes in Computer Science
is preserved in the sense that fuzzy autoepistemic logic generalizes fuzzy answer set programming.  ...  In this paper we show that many properties from classical autoepistemic logic remain valid under this generalization and that the important relation between autoepistemic logic and answer set programming  ...  In [18] a fuzzy equilibrium logic was introduced, and a correspondence between fuzzy equilibrium logic models and answer sets of FASP programs was shown.  ...

### Logical Fuzzy Preferences [article]

2013 arXiv   pre-print
We present a unified logical framework for representing and reasoning about both quantitative and qualitative preferences in fuzzy answer set programming, called fuzzy answer set optimization programs.  ...  We show the application of fuzzy answer set optimization programs to the course scheduling with fuzzy preferences problem.  ...  the fuzzy answer set semantics of disjunctive fuzzy logic sets of rules, a form of fuzzy answer set programming, as presented in [Saad, 2010] .  ...

### A Review of Neuro-Fuzzy Systems Based on Intelligent Control

Fatemeh Zahedi
2015 Journal Electrical and Electronic Engineering
This paper briefly describes the structure of intelligent control and provides a review on fuzzy logic and neural networks which are some of the base methods for intelligent control.  ...  Intelligent control improves these two factors in controllers.  ...  If A and B are two fuzzy sets in the universal set of U with membership functions of µ A and µ B , then: Definition 1-Union: The membership function µ (A∪B) of the union A∪B for all u∈U is defined as followed  ...

### Page 2075 of Mathematical Reviews Vol. , Issue 2003C [page]

2003 Mathematical Reviews
Equilibrium logic is a con- servative extension of answer set inference, not only for extended, disjunctive logic programs, but also for significant extensions such as the programs with nested expressions  ...  The paper provides proof systems for Ns and for model-checking in equilibrium logic.  ...

### Logical Fuzzy Optimization [article]

2013 arXiv   pre-print
We present a logical framework to represent and reason about fuzzy optimization problems based on fuzzy answer set optimization programming.  ...  We show the application of the proposed logical fuzzy optimization framework under the fuzzy answer set optimization programming to the fuzzy water allocation optimization problem.  ...  Introduction Fuzzy answer set optimization is a logical framework aims to solve optimization problems in fuzzy environments.  ...

### Fuzzy autoepistemic logic and its relation to fuzzy answer set programming

Marjon Blondeel, Steven Schockaert, Martine De Cock, Dirk Vermeir
2014 Fuzzy sets and systems (Print)
In this paper, we consider a version of fuzzy answer set programming and show that its answer sets can be equivalently described as models in fuzzy autoepistemic logic.  ...  We also define a fuzzy logic of minimal belief and negation-as-failure and use this as a tool to show that fuzzy autoepistemic logic generalizes fuzzy answer set programming.  ...  In [34] a correspondence between fuzzy equilibrium logic models and answer sets of FASP programs was shown.  ...

### Sustainability in rangeland systems: Introduction of fuzzy multi objective decision making

Hossein Azadi, Jan van den Berg, Ho. Peter, Gholamhossein Hosseininia
2009 Current World Environment
The complete fuzzy reasoning in a FS can be set up as follows: 1.  ...  The essential characteristics of fuzzy logic founded by him are as follows (Abdul Aziz 1996): In fuzzy logic, exact reasoning is viewed as a limiting case of approximate reasoning, In fuzzy logic everything  ...

### Page 6367 of Mathematical Reviews Vol. , Issue 95j [page]

1995 Mathematical Reviews
Fuzzy Theory Systems 6 (1994), no. 1, 41-60. Summary: “Equilibrium solutions in terms of an attainment degree of a fuzzy goal for games in fuzzy and multiobjective environments are examined.  ...  Summary: “This paper elucidates the logic behind recent papers which show that a unique equilibrium is selected in the pres- ence of higher-order uncertainty, i.e., when players lack common knowledge.  ...

### Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks

Yaochu Jin, Yan Meng, Bernhard Sendhoff
2009 2009 IEEE Symposium on Artificial Life
Two forms of fuzzy logic, namely, the Zadeh operators and the probabilistic operators, as well as the summation logic have been investigated.  ...  The gene regulatory network motifs considered in this work consist of three genes with both positive and negative feedback loops.  ...  FUZZY LOGIC Fuzzy logic systems have found a wide range of applications in science and engineering [17] since Zadeh's pioneering work on fuzzy sets [18] and fuzzy reasoning [19] .  ...

### New Hybrid Approach to Control the Arm of Flexible Robots by using Neural Networks, Fuzzy Algorithms and Particle Swarm Optimization Algorithm

E Khoobjo
2015 Indian Journal of Science and Technology
is an advantage of fuzzy logic methods.  ...  In this paper, a new hybrid approach is proposed to control the arm of flexible robots by using neural networks, fuzzy algorithms and particle swarm optimization algorithm.  ...  must benefit from fuzzy logic in order to have a desirable functionality 9 .  ...
« Previous Showing results 1 — 15 out of 6,249 results