Search Results - "Zurita, J.M."

Fuzzy repertory table: a method for acquiring knowledge about input variables to machine learning algorithm by Castro-Schez, J.J., Castro, J.L., Zurita, J.M.

“…In this paper, we develop a technique for acquiring the finite set of attributes or variables which the expert uses in a classification problem for…”
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FRIwE: fuzzy rule identification with exceptions by Carmona, P., Castro, J.L., Zurita, J.M.

“…In this paper, the FRIwE method is proposed to identify fuzzy models from examples. Such a method has been developed trying to achieve a double goal:accuracy…”
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Strategies to identify fuzzy rules directly from certainty degrees: a comparison and a proposal by Carmona, P., Castro, J.L., Zurita, J.M.

“…With identification methods that learn fuzzy rules directly from certainty degrees, we refer to methods that select the most promising rules from the training…”
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Lexicon-based Comments-oriented News Sentiment Analyzer system by Moreo, A., Romero, M., Castro, J.L., Zurita, J.M.

“…► Able to deal with the tendency of many users to express their views in non-standard language. ► Detects the targets of users’ opinions in multi-domain…”
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Loss and gain functions for CBR retrieval by Castro, J.L., Navarro, M., Sánchez, J.M., Zurita, J.M.

“…The method described in this article evaluates case similarity in the retrieval stage of case-based reasoning (CBR). It thus plays a key role in deciding which…”
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Learning regular expressions to template-based FAQ retrieval systems by Moreo, A., Eisman, E.M., Castro, J.L., Zurita, J.M.

“…Template-based approaches have proven to be one of the most efficient and robustest ways of addressing Question Answering problems. Templates embody the…”
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A fuzzy expert system for business management by Arias-Aranda, D., Castro, J.L., Navarro, M., Sánchez, J.M., Zurita, J.M.

“…Nowadays firms are required to reach high levels of specialisation in order to increase their competitiveness in complex markets. Knowledge management plays a…”
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Using Wikipedia concepts and frequency in language to extract key terms from support documents by Romero, M., Moreo, A., Castro, J.L., Zurita, J.M.

“…► Able to deal with the specific characteristics of the support documents. ► Hybrid system based on frequency-based and thesaurus-based approaches. ► Frequency…”
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A high-performance FAQ retrieval method using minimal differentiator expressions by Moreo, A., Navarro, M., Castro, J.L., Zurita, J.M.

“…Case-Based Reasoning (CBR) has proven to be a very useful technique to solve problems in Closed-Domains Question Answering such as FAQ retrieval. Instead of…”
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FAQtory: A framework to provide high-quality FAQ retrieval systems by Moreo, A., Romero, M., Castro, J.L., Zurita, J.M.

“…► Actual user’s information needs lead the task of FAQ maintenance. ► FAQ managers are not expected to be IR experts-knowledge modelling is not required. ►…”
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Learning maximal structure rules in fuzzy logic for knowledge acquisition in expert systems by Castro, J.L., Castro-Schez, J.J., Zurita, J.M.

“…The aim of this article is to present a new approach to machine learning (precisely in classification problems) in which the use of fuzzy logic has been taken…”
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Commutativity as prior knowledge in fuzzy modeling by Carmona, P., Castro, J.L., Zurita, J.M.

“…In fuzzy modeling (FM), the quantity and quality of the training set is crucial to properly grasp the behavior of the system being modeled. However, the…”
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Use of a fuzzy machine learning technique in the knowledge acquisition process by Castro, J.L., Castro-Schez, J.J., Zurita, J.M.

“…Acquiring the knowledge to support an expert system is one of the key activities in knowledge engineering. Knowledge acquisition (KA) is closely related to…”
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A case of Alternaria alternata (Fr.) Keissler infection of the knee by Del Palacio Hernanz, A, Conde-Zurita, J M, Reyes Pecharroman, S, Rodriguez Noriega, A

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Learning maximal structure fuzzy rules with exceptions by Carmona, P., Castro, J.L., Zurita, J.M.

“…This paper proposes a method to solve the conflicts that arise in the framework of fuzzy model identification with maximal rules (Fuzzy Sets and Systems 101…”
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Non-monotonic fuzzy reasoning by Castro, J.L., Trillas, E., Zurita, J.M.

“…Fuzzy reasoning can provide techniques both for representing and managing the imprecision in commonsense reasoning. But, like human reasoning, it conduces to…”
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Contradiction sensitive fuzzy model-based adaptive control by Carmona, P., Castro, J.L., Zurita, J.M.

“…Fuzzy model-based adaptive control, unlike traditional fuzzy control, extracts expert knowledge from data by using model identification techniques. In this…”
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An inductive learning algorithm in fuzzy systems by Castro, J.L, Zurita, J.M

“…The aim of this paper is to present a method for identifying the structure of a rule in a fuzzy model. For this purpose, an ATMS shall be used. An algorithm…”
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A heuristic in rules based systems for searching of inconsistencies by Castro, J.L., Zurita, J.M.

“…The aim of this work is to present heuristic algorithms in order to determine possible inconsistences of a knowledge base system (KBS). These algorithms will…”
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Using a CBR Approach Based on Ontologies for Recommendation and Reuse of Knowledge Sharing in Decision Making by Garrido, J.L., Hurtado, M.V., Noguera, M., Zurita, J.M.

“…One of the possibilities for improving decision processes, and the knowledge management across interacting organizations is to explore successful past…”
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