A Simple Procedure for Pattern Pre-Recognition Based on Fuzzy Logic Analysis

1997 ◽  
Vol 05 (01) ◽  
pp. 31-45 ◽  
Author(s):  
Vilém Novák ◽  
Alessandro Zorat ◽  
Mario Fedrizzi
Keyword(s):  
Fuzzy Logic ◽  
Simple Procedure ◽  
Formal Theory ◽  
Narrow Sense ◽  
Fuzzy Logic Analysis

In this paper a simple procedure for pattern pre-recognition is presented. The task is to recognize whether a given pattern should be interesting for further analysis or not. The description of the procedure presented in this paper is based on formal theory of fuzzy logic in narrow sense so that the procedure – being general – can be used for many other purposes where patterns are to be recognized.

Fuzzy Logic in Narrow Sense

1999 ◽  
pp. 95-178
Author(s):  
Vilém Novák ◽  
Irina Perfilieva ◽  
JiŘí Močkoř
Keyword(s):  
Fuzzy Logic ◽  
Narrow Sense

scholarly journals Aplikasi Pengambilan Keputusan dengan Metode Tsukamoto pada Penentuan Tingkat Kepuasan pelanggan

CAUCHY ◽  
2015 ◽  
Vol 4 (1) ◽  
pp. 10 ◽  
Author(s):  
Venny Riana Riana Agustin ◽  
Wahyu Henky Irawan
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Fuzzy Inference ◽  
Weighted Average ◽  
Fuzzy Rules ◽  
Quality Of Services ◽  
Inference System ◽  
A Value ◽  
Fuzzy Logic Analysis

Tsukamoto method is one method of fuzzy inference system on fuzzy logic for decision making. Steps of the decision making in this method, namely fuzzyfication (process changing the input into kabur), the establishment of fuzzy rules, fuzzy logic analysis, defuzzyfication (affirmation), as well as the conclusion and interpretation of the results. The results from this research are steps of the decision making in Tsukamoto method, namely fuzzyfication (process changing the input into kabur), the establishment of fuzzy rules by the general form IF a is A THEN B is B, fuzzy logic analysis to get alpha in every rule, defuzzyfication (affirmation) by weighted average method, as well as the conclusion and interpretation of the results. On customers at the case, in value of 16 the quality of services, the value of 17 the quality of goods, and value of 16 a price, a value of the results is 45,29063 and the level is low satisfaction

The potential implementation of ‘DEGALANTIL’ using fuzzy logic analysis

2017 ◽  
Author(s):  
I Made Alan Priyatna ◽  
Luh Putu Eka Yani ◽  
Satria Robi Trisnanto ◽  
I Gusti Bagus Ngurah Eka Darmaputra ◽  
Anak Agung Kompiyang Ratih Maldini ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Analysis

Grey-Fuzzy Logic Based Approach in Multi-Response Optimization of Semi-Solid Forging of A356 Aluminium Alloy

2021 ◽  
Vol 1016 ◽  
pp. 1875-1881
Author(s):  
Rajkumar Ohdar ◽  
Niranjan Kumar Singh ◽  
Archana Kumari ◽  
Randhir Kumar
Keyword(s):  
Fuzzy Logic ◽  
Performance Characteristics ◽  
Al Alloy ◽  
Forging Process ◽  
Response Optimization ◽  
Optimal Setting ◽  
Semi Solid ◽  
Solid Forging ◽  
Fuzzy Logic Analysis ◽  
Grey Relational

This paper presents an effective approach for the optimization of the semi-solid forging process of A356 Al-alloy based on the orthogonal array with the grey relational analysis and fuzzy logic analysis. Through the grey-fuzzy logic analysis, the optimization of complicated multiple performance characteristics can be converted into the optimization of a single grey-fuzzy reasoning grade. In this semi-solid forging process of A356 Al-alloy, the forging process parameters, namely the forging temperature, percent deformation, and die temperature are optimized with considerations of multiple performance characteristics including the tensile strength and hardness. The experimental results for the optimal setting have shown that the above performance characteristics in the semi-solid forging process of A356 Al-alloy can be improved effectively together through this approach.

Data Dependencies in Codd's Relational Model with Similarities

2011 ◽  
pp. 634-657
Author(s):  
Radim Belohlavek ◽  
Vilem Vychodil
Keyword(s):  
Fuzzy Logic ◽  
Classical Logic ◽  
Reference Model ◽  
Relational Model ◽  
Future Research ◽  
Functional Dependencies ◽  
Narrow Sense ◽  
Data Dependencies ◽  
Similarity Relations ◽  
Conceptual Clarity

This chapter deals with data dependencies in Codd’s relational model of data. In particular, we deal with fuzzy logic extensions of the relational model that consist of adding similarity relations to domains and consider functional dependencies in these extensions. We present a particular extension and functional dependencies in this extension that follow the principles of fuzzy logic in a narrow sense. We present selected features and results regarding this extension. Then, we use this extension as a reference model and compare it to several other extensions proposed in the literature. We argue that following the principles of fuzzy logic in a narrow sense, the same way we can follow the principles of classical logic in the case of the ordinary Codd relational model, helps achieve transparency, versatility, conceptual clarity, and theoretical and computational tractability of the extension. We outline several topics for future research.

scholarly journals Fuzzy Logic Analysis of the Build, Capacity Build and Transfer (B-CB-T) Modality for Urban Water Supply Service Delivery in Ethiopia

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 979 ◽  
Author(s):  
Samuel Godfrey ◽  
Getachew Asmare ◽  
Tamene Gossa ◽  
Michele Paba
Keyword(s):  
Fuzzy Logic ◽  
Water Supply ◽  
Financial Management ◽  
Urban Water ◽  
Urban Water Supply ◽  
Rapid Urbanization ◽  
Appropriate Behavior ◽  
Contractual Arrangements ◽  
And Performance ◽  
Fuzzy Logic Analysis

Rapid urbanization in Ethiopia is resulting in the need for alternative sustainable service models for urban water supply. Contractual arrangements to improve the functionality of urban water services in Ethiopia have included build, operate and transfer (BOT), design, build and operate (DBO), performance-based contracts (PBC) and utility development. UNICEF undertook a review of these modalities and concluded that a modified version of the BOT modality was required to both incentivize private sector engagement in urban water supply and to enhance public sector utilities. This paper describes the contractual modality developed to achieve this aim, namely an Ethiopian build, capacity build and transfer (B-CB-T) modality. This paper tests the applicability of the B-CB-T model using fuzzy logic statistical analysis and concludes that of the four tested variables (internal accountability, external accountability, operation and maintenance and financial management), the most statistically significant was the clear mandate to address complaints and maintain a positive relationship with the clients (users). This paper concludes that the B-CB-T is an effective contracting modality that should be accompanied by appropriate behavior change and social mobilization outreach to maximize tariff, billing, extension and performance of the infrastructure that is administered within the B-CB-T arrangement.

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