A Łukasiewicz—style Many-valued Similarity Reasoning. Review

2003 ◽  
pp. 337-347
Author(s):  
Esko Turunen
Keyword(s):  
Similarity Reasoning

STUDY ON SIMILARITY AND SIMILARITY REASONING

2004 ◽  
Vol 03 (02) ◽  
pp. 239-250 ◽  
Author(s):  
BIN HE
Keyword(s):  
New Science ◽  
Similarity Reasoning ◽  
Quantitative Calculation ◽  
Set Up ◽  
Similar Extension

Based on extension models of a new science called Extenics, this paper presents formalized study on similarity and similarity reasoning. The concepts of δ-similarity and δ-similar extension elements are introduced firstly, and then the substitution principles of similarity for solving incompatible problems are set up, showing that similarity substitution is an effective way to solve incompatible problems in the practical world. In addition, the quantitative calculation of similarity is discussed. Finally, three basic rules for similarity reasoning are developed as well.

A Fuzzy Modal Logic for Similarity Reasoning

1999 ◽  
pp. 33-48 ◽  
Author(s):  
Lluís Godo ◽  
Ricardo O. Rodríguez
Keyword(s):  
Modal Logic ◽  
Similarity Reasoning

Enhancing Fuzzy Inference System-Based Criterion-Referenced Assessment with a Similarity Reasoning Technique

2012 ◽  
pp. 302-327
Author(s):  
Tze Ling Jee ◽  
Kai Meng Tay ◽  
Chee Khoon Ng
Keyword(s):  
Fuzzy Inference System ◽  
Analogical Reasoning ◽  
Fuzzy Inference ◽  
Fuzzy Rule ◽  
Rule Base ◽  
Large Set ◽  
Inference System ◽  
Similarity Reasoning ◽  
Criterion Referenced ◽  
Reasoning Technique

A search in the literature reveals that the use of fuzzy inference system (FIS) in criterion-referenced assessment (CRA) is not new. However, literature describing how an FIS-based CRA can be implemented in practice is scarce. Besides, for an FIS-based CRA, a large set of fuzzy rules is required and it is a rigorous work in obtaining a full set of rules. The aim of this chapter is to propose an FIS-based CRA procedure that incorporated with a rule selection and a similarity reasoning technique, i.e., analogical reasoning (AR) technique, as a solution for this problem. AR considers an antecedent with an unknown consequent as an observation, and it deduces a conclusion (as a prediction of the consequent) for the observation based on the incomplete fuzzy rule base. A case study conducted in Universiti Malaysia Sarawak is further reported.

Case-Based Reasoning with GIS to Oil-Gas Reservoir Comprehensive Mapping

2014 ◽  
Vol 1073-1076 ◽  
pp. 2010-2014
Author(s):  
Jian Hua Chen ◽  
Wei Hong Wang ◽  
Jun Wen Li
Keyword(s):  
Spatial Relations ◽  
Case Based Reasoning ◽  
Gas Reservoir ◽  
Gas Field ◽  
Similarity Reasoning ◽  
East Region ◽  
Oil And Natural Gas ◽  
Oil Gas ◽  
Case Based ◽  
Comprehensive Mapping

Oil and natural gas are very important. As reservoir geological phenomena have characteristics of complexity and nonlinearity, this paper presented a new approach of case-based reasoning with GIS to oil-gas reservoir comprehensive mapping, to which the characteristics of geological phenomena and the spatial relations among them are much considered, the reasoning is based on the attribute similarity reasoning and the spatial similarity reasoning. Experiments to the east region adjacent to Sulige gas field in north China were carried out. The results show that this approach is effective and much efficient, and it may have certain universality to similar problems or phenomena.

Many-Valued Similarity Reasoning. An Axiomatic Approach

2002 ◽  
Vol 8 (5-6) ◽  
pp. 751-760 ◽  
Author(s):  
KUKKURAINEN PAAVO ◽  
TURUNEN ESKO
Keyword(s):  
Axiomatic Approach ◽  
Similarity Reasoning
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