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Fuzzy relational learning: A new approach to case-based reasoning

Ning Xiong, Liangjun Ma, Shouchuan Zhang
2013 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)  
This paper aims to develop a new approach to casebased reasoning without similarity constraint.  ...  The key to this is the case relation model which enables identification of relevant cases from a global perspective.  ...  Fuzzy sets were used to depict imprecise case features in a fuzzy case-based reasoning system [17] .  ... 
doi:10.1109/fskd.2013.6816266 dblp:conf/fskd/XiongMZ13 fatcat:k6y76c6qzbdabjqich2mivzh2u

A new approach to fuzzy reasoning

J. Weisbrod
1998 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
Together, both mechanisms form an embracing theory for fuzzy reasoning in general. We propose a combined approach to be applied in order to manage complex rule bases.  ...  For a fuzzy rule base, that maximizes completeness at the cost of consistency, we derive a new type of inference called {reasoning.  ...  Furthermore, the corrections and valuable remarks of the anonymous reviewer(s) helped a lot to improve the original paper.  ... 
doi:10.1007/s005000050037 fatcat:cm4jnorqxzbuvin67iwntce73m

A fuzzy approach to analogical reasoning

B. Bouchon-Meunier, L. Valverde
1999 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
We address the problem of the representation of resemblances involved in analogical reasoning. We use fuzzy relations to compare situations.  ...  We give a general definition of analogical scheme which can be considered from a more or less constrained point of view.  ...  Analogical reasoning has been formalized in a fuzzy set based approach in various directions. Approximate reasoning has been pointed out by L.A.  ... 
doi:10.1007/s005000050062 fatcat:negb2nd7pjevrdpiljv5vyg5he

Novel approach to Case Based Reasoning System by aggregating Semantic Similarity Measures using Fuzzy Aggregation for Case Retrieval

Riya A., VimalKumar B.
2017 International Journal of Computer Applications  
This paper presets the model of case based reasoning system that uses the semantic based case retrieval agent to compare two short texts.  ...  Natural language Search is used in Case Based Reasoning Systems for searching the solution to the novel problem.  ...  Fig. 1 1 Traditional Case Based Reasoning System Fig Fig.2.  ... 
doi:10.5120/ijca2017913726 fatcat:bagqbnqpgbhdrbsxwp4obd6yjy

Achieving quality assurance functionality in the food industry using a hybrid case-based reasoning and fuzzy logic approach

S.I. Lao, K.L. Choy, G.T.S. Ho, Richard C.M. Yam, Y.C. Tsim, T.C. Poon
2012 Expert systems with applications  
The system, which is composed of a Case-based Reasoning (CBR) engine and a Fuzzy rule-based Reasoning (FBR) engine, starts with the receipt of incoming food inventory.  ...  With the CBR engine, certain quality assurance operations can be suggested based on the attributes of the food received.  ...  It found that there has been a trend to adopt learning techniques which use cases or instances directly, such as in Case-based Reasoning (CBR) (Kim, Im, & Park, 2010) .  ... 
doi:10.1016/j.eswa.2011.11.014 fatcat:resvfwjywnbxpnf4he3ygxyffa

A Fuzzy-Rough Approach for Case Base Maintenance [chapter]

Guoqing Cao, Simon Shiu, Xizhao Wang
2001 Lecture Notes in Computer Science  
This paper proposes a fuzzy-rough method of maintaining Case-Based Reasoning (CBR) systems.  ...  The methodology is mainly based on the idea that a large case library can be transformed to a small case library together with a group of adaptation rules, which take the form of fuzzy rules generated  ...  Acknowledgement We would like to express our thanks to the three anonymous reviewers who have given us a lot of valuable comments on this work.  ... 
doi:10.1007/3-540-44593-5_9 fatcat:febftivwkfhmrnzab3xm7ohfie

A fuzzy logic approach to experience-based reasoning

Zhaohao Sun, Gavin Finnie
2007 International Journal of Intelligent Systems  
This paper will attempt to fill this gap by providing a unified fuzzy logic-based treatment of EBR.  ...  Experience-based reasoning (EBR) is a reasoning paradigm used in almost every human activity such as business, military missions, and teaching activities since early human history.  ...  Case-based reasoning (CBR) is a kind of experience-based reasoning (EBR) [57] .  ... 
doi:10.1002/int.20220 fatcat:2wznwioilrbf3ebizk4ybv5h4u

A practical approach to fuzzy utilities comparison in fuzzy multicriteria analysis

Chung-Hsing Yeh, Hepu Deng
2004 International Journal of Approximate Reasoning  
This paper presents a practical approach to address the fuzzy ranking problem.  ...  A comparative study is conducted on all benchmark cases used in the literature to examine its performance on rationality and discriminatory ability.  ...  In this case, the ranking of the alternatives is based on the comparison of their corresponding fuzzy utilities.  ... 
doi:10.1016/j.ijar.2003.09.002 fatcat:obcssrlrune7npu4eotboi35uq

A Fuzzy-Cautious Owa Approach With Evidential Reasoning

Deqiang Han, Jean Dezert, Jean-Marc Tacnet, Chongzhao Han
2015 Zenodo  
To make a decision in the framework of MCDM under uncertainty, a novel fuzzy - Cautious OWA with evidential reasoning (FCOWA-ER) approach is proposed in this paper.  ...  In this paper, we propose a modified COWA-ER approach, called Fuzzy-Cautious OWA with Evidential Reasoning (FCOWA-ER), by using a different way to manage the uncertainty caused by weights selection.  ...  Cautious OWA with Evidential Reasoning Yager's OWA approach is based on the choice of a given attitude measured by an optimistic index in [0, 1] to get the weighting vector .  ... 
doi:10.5281/zenodo.21451 fatcat:77vorkrpizgc3aw2vok3qd5wdm

A Fuzzy Sets Theoretic Approach to Approximate Spatial Reasoning

Y. Li, S. Li
2004 IEEE transactions on fuzzy systems  
Our approach is based on fuzzy set theory and the theory of consonant random set. Some complete classifications of topological relations between fuzzy regions are also given.  ...  These composition operators provide reasonable relational composition-based reasoning engine for spatial reasoning involving fuzzy regions.  ...  The authors are grateful to the anonymous referees who suggested several improvements and pointed out a missing reference in the previous version of this paper.  ... 
doi:10.1109/tfuzz.2004.836100 fatcat:bqbd5qc5lvgdvid3bbw7hryzza

A fuzzy approach to aggregating military assessments

John Dockery, Edward Murray
1987 International Journal of Approximate Reasoning  
The fuzzy set approach described is new in the defense community. The article provides an overview of the methodology and is not a detailed discussion.  ...  Fuzzy set matrix operations in the form of a computer-aided decision tool are applied to the management problem of aggregating assessments upward through successive layers of a hierarchy.  ...  We elected, therefore, to base a computer code on fuzzy set logic.  ... 
doi:10.1016/s0888-613x(87)80001-4 fatcat:a6l4fmhzyjht5lfslf3gry6tsi

A Symbolic Approach to Syllogistic Reasoning [chapter]

Mohamed Yasser Khayata, Daniel Pacholczyk
2002 Studies in Fuzziness and Soft Computing  
In this paper we present a new approach to a symbolic treatment of quantified statements having the following form "Q A's are B's", knowing that A and B are labels denoting sets, and Q is a linguistic  ...  Our approach is founded on a symbolic finite M-valued logic in which the graduation scale of M symbolic quantifiers is translated in terms of truth degrees.  ...  The approaches based on the fuzzy set theory [6, 9, 10, 32, 33, 35] deal with a vague proportional quantifier as a fuzzy number of the interval [0, 1] which can be manipulated by using the fuzzy arithmetic  ... 
doi:10.1007/978-3-7908-1797-3_8 fatcat:lr67npcysff3djatmjei4majrq

Abductive case-based reasoning

Zhaohao Sun, Gavin Finnie, Klaus Weber
2005 International Journal of Intelligent Systems  
This article will introduce abductive case-based reasoning (CBR) and attempt to show that abductive CBR and deductive CBR can be integrated in clinical process and problem solving.  ...  Abstract: This article will introduce abductive case-based reasoning (CBR) and attempt to show that abductive CBR and deductive CBR can be integrated in clinical process and problem solving.  ...  The case-based approach explicitly treats explanations as plausible reasoning chains that may be implicit.  ... 
doi:10.1002/int.20101 fatcat:66uyhppuxfafnbhedwa4j5vqwa

A Novel Fault Detection Approach combining Adaptive Thresholding and Fuzzy Reasoning [article]

Imtiez fliss, Moncef Tagina
2012 arXiv   pre-print
In this paper a novel detection module combining the use of adaptive threshold and fuzzy logic reasoning inspired by the Evsukoff's approach is proposed in order to reduce the rate of false alarms, guarantee  ...  The proposed approach can be used in case of multiple faults detection. This approach is applied to a benchmark in diagnosis domain: the three-tank system.  ...  In this context, our work consists in proposing a novel detection module which integrate the use of adaptive threshold and fuzzy logic reasoning inspired by the approach described in [9] .  ... 
arXiv:1203.5454v1 fatcat:4ytj6tp3tnhgdmuneupxq5efgy

Fuzzy Case-Based Reasoning System

Jing Lu, Dingling Bai, Ning Zhang, Tiantian Yu, Xiakun Zhang
2016 Applied Sciences  
In this paper, we propose a fuzzy case-based reasoning system, using a case-based reasoning (CBR) system that learns from experience to solve problems.  ...  Different from a traditional case-based reasoning system that uses crisp cases, our system works with fuzzy ones.  ...  Comparison between a Fuzzy Case-Based Reasoning System and Other Prediction Models We conducted experiments to compare a fuzzy case-based reasoning system with a fuzzy expert system and case-based reasoning  ... 
doi:10.3390/app6070189 fatcat:3dalcchgvfferpk62u4ggtdb2q
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