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Big data-oriented product infant failure intelligent root cause identification using associated tree and fuzzy DEA

Zhenzhen He, Yihai He, Fengdi Liu, Yixiao Zhao
2019 IEEE Access  
Infant failure analyzing is an effective approach to improve production quality continuously. The root causes of infant failure have always been a puzzle to manufacturers.  ...  To satisfy the increasing demand for the fuzzy root cause analysis of product infant failure in the era of big data, a novel root cause identification approach based on the associated tree and fuzzy data  ...  In this study, the triangular fuzzy number is used to quantify the subjective evaluation of fuzziness of a designer.  ... 
doi:10.1109/access.2019.2904759 fatcat:a5ie2r2ukjervdhz2r3leat2oe

A weighted rough set based fuzzy axiomatic design approach for the selection of AM processes

Pai Zheng, Yuanbin Wang, Xun Xu, Sheng Quan Xie
2016 The International Journal of Advanced Manufacturing Technology  
Based on this proposition, this paper proposes a weighted preference graph method for personalized preference evaluation, and a rough set based fuzzy axiomatic design approach for performance evaluation  ...  An example based on the previous research work of AM machine selection is given to validate its robustness for the priori articulation of AM process selection decision support.  ...  Acknowledgement The authors wish to acknowledge the financial support provided by the New Zealand Ministry of  ... 
doi:10.1007/s00170-016-9890-8 fatcat:c5bms3g4krhmlpgdetloq4qa4i

Selection of industrial robot using axiomatic design principles in fuzzy environment

Anant V. Khandekar, Shankar Chakraborty
2015 Decision Science Letters  
Further, a fuzzy number à is a triangular fuzzy number (TFN) if its membership function is represented as follows:   ( )/( ) 1 ( ) ( )/( ) 0 for all other cases A x a b a a x b x b f x x c b c b x c  ...  as triangular interval-valued fuzzy numbers.  ... 
doi:10.5267/j.dsl.2014.12.004 fatcat:edybwcicgfa4dc3y6rdegdou4q

Axiomatic of Fuzzy Complex Numbers

Angel Garrido
2012 Axioms  
Fuzzy numbers are fuzzy subsets of the set of real numbers satisfying some additional conditions. Fuzzy numbers allow us to model very difficult uncertainties in a very easy way.  ...  Moreover, fuzzy numbers with a simpler shape of membership functions often have more intuitive and more natural interpretations.  ...  And obviously, to the editors and staff of MDPI, for their continuous and invaluable help and support.  ... 
doi:10.3390/axioms1010021 fatcat:igc5fs3klzbojdfvjngcfffz4u

Fuzzy Multicriteria Decision-Making: A Literature Review

Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi
2015 International Journal of Computational Intelligence Systems  
Most of the publications are on fuzzy MADM since there are a plenty of classical multiattribute decision-making methods in the literature.  ...  Multicriteria decision-making (MCDM) refers to making decisions in the presence of multiple and usually conflicting criteria.  ...  For each of the objective functions of this problem, the decision maker is assumed to have a fuzzy goal. FMOLP has been used in many areas with an increasing interest.  ... 
doi:10.1080/18756891.2015.1046325 fatcat:nwuw7hlkkzh4bp26yqnbtxdrpi

Garage Location Selection for Public Transportation System in Istanbul: An Integrated Fuzzy AHP and Fuzzy Axiomatic Design Based Approach

Özge Nalan Bilişik, Nurgül Demirtaş, Umut Rıfat Tuzkaya, Hayri Baraçlı
2014 Journal of Applied Mathematics  
Then, these weights are used in fuzzy axiomatic design (AD) technique to determine the precedencies of the alternative garage locations.  ...  We try to determine the best location for a bus garage, in which maintenance and repair activities are operated, for public transportation system in Istanbul.  ...  Acknowledgment The authors would like to express their thanks and appreciation to IETT employees and managers for their contributions and attention on defining and evaluating the problem.  ... 
doi:10.1155/2014/541232 fatcat:h5yw2kuwwbh27artjjgbjeqgb4

Page 4131 of Mathematical Reviews Vol. , Issue 92h [page]

1992 Mathematical Reviews  
In addition, an algorithm for the composi- tional rule of inference is developed to perform the fuzzy modus ponens syllogism.  ...  An approach to the problem of expressing that a sentence is less true than another sentence is presented; it differs from those in papers by E.  ... 

Page 46 of Mathematical Reviews Vol. , Issue 90A [page]

1990 Mathematical Reviews  
It is proved that the measure of a given class can, depending on the way of measurement, be an arbitrary nonnegative real number.” 90a:03083 03E70 03HIS Sochor, Antonin (CS-CSAV); Vopénka, Petr (CS-CHRL  ...  90a: 3082 90a:03082 03E70 03H20 28A12 Kalina, Martin (CS-KMSK) A sequential approach to a construction of measures. Comment. Math. Univ. Carolin. 3 (1989), no. 1, 121-128.  ... 

A Probability-Based Approach to Comparison of Fuzzy Numbers and Applications to Target-Oriented Decision Making

Van-Nam Huynh, Y. Nakamori, J. Lawry
2008 IEEE transactions on fuzzy systems  
The proposed comparison relation is then applied to the issue of ranking fuzzy numbers using fuzzy targets in terms of target-based evaluations.  ...  More interestingly, according to the interpretation of the new comparison relation on fuzzy numbers, we provide a fuzzy target-based decision model as a solution to the problem of decision making under  ...  Methods belonging to the first class aim to define a ranking function mapping a fuzzy number into a real number, and then use a natural order for ranking purpose.  ... 
doi:10.1109/tfuzz.2007.896315 fatcat:hwej7esu6za6jk7igya32qq2oy

Fuzzy Triangular Aggregation Operators

Ulrich Florian Simo, Henri Gwét
2018 International Journal of Mathematics and Mathematical Sciences  
We present a new class of fuzzy aggregation operators that we call fuzzy triangular aggregation operators.  ...  To do so, we focus on the situation where the available information cannot be assessed with exact numbers and it is necessary to use another approach to assess uncertain or imprecise information such as  ...  We present a new class of fuzzy aggregation operators that we call fuzzy triangular aggregation operators.  ... 
doi:10.1155/2018/9209524 fatcat:ot5w753j7zcilm4tkb43ic63pa

A Comprehensive Literature Review of 50 Years of Fuzzy Set Theory

Cengiz Kahraman, Başar Öztayşi, Sezi Çevik Onar
2016 International Journal of Computational Intelligence Systems  
Fuzzy sets have a great progress in every scientific research area.  ...  In this paper, a comprehensive literature review on the fuzzy set theory is realized.  ...  Farhadinia [189] presented a series of score functions for hesitant fuzzy sets providing a variety of new methods for ranking HFSs.  ... 
doi:10.1080/18756891.2016.1180817 fatcat:k5rtjlmy4ncivn2ejvxyitwd3y

Importance identification for fault trees based on possibilistic information measurements

Li-Ping He, Hong-Zhong Huang, Yu Pang, Yanfeng Li, Yu Liu
2013 Journal of Intelligent & Fuzzy Systems  
Subjective factors and nonlinear characteristics, inherent in the importance identification for a fault tree in the reliability and risk analysis, make it necessary for fuzzy (or possibilistic) approaches  ...  After investigating the intuitive interpretations, possibilistic information semantics, measure-theoretic terms and entropy-like models, a new axiomatic index of importance measure for fault trees is proposed  ...  The authors are also grateful to the anonymous reviewers for their useful comments and suggestions to the original version of the paper.  ... 
doi:10.3233/ifs-120705 fatcat:r6nc7jpglbhwverrjgtmohaeru

Application of Fuzzy Logic for User Classification in Personalized Web Search

Sendhilkumar S, Selvakumar K, Mahalakshmi G.S
2014 International Journal on Cybernetics & Informatics  
Using fuzzy rules, the search pages are labelled to aid grouping of user search interests. Evaluation of the proposed approach proves to be better when compared with Bayesian classifier.  ...  This fluctuating nature of user behaviour and user interest shall be well interpreted within a fuzzy setting. Prior to analysing user behaviour, nature of user interests has to be collected.  ...  Fuzzification of time-spent using Triangular Fuzzy membership function Triangular function is defined by a lower limit ܽ, an upper limit ܾ, a value ܿ, and ‫ݔ‬ is current time-spent value, where ܽ < ܾ <  ... 
doi:10.5121/ijci.2014.3303 fatcat:ykw3nrbphvfcdg7mhdam3y7hgm

On replacement models via a fuzzy set theoretic framework

A.O. Esogbue, W.E. Hearnes
1998 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
In particular, a fuzzy set approach to economic life of an asset calculation as well as a¯nite horizon single asset replacement problem with multiple challengers is discussed.  ...  Because the use of triangular fuzzy numbers provides a compromise between computational efciency and realistic modeling of the uncertainty, this discussion emphasizes fuzzy numbers.  ...  Li Calzi [28] provided an axiomatic development for the fuzzy extension of¯nancial mathematics with a desire to maintain consistency in the calculations.  ... 
doi:10.1109/5326.725341 fatcat:yw6l6fqcbnhsvlrvt77vhnqr2i

A fuzzy inference system with application to player selection and team formation in multi-player sports

Madjid Tavana, Farshad Azizi, Farzad Azizi, Majid Behzadian
2013 Sport Management Review  
Acknowledgements The authors would like to thank the anonymous reviewers and the editor for their insightful comments and suggestions.  ...  There are different classes of fuzzy numbers, but triangular and trapezoidal fuzzy numbers are the most commonly used classes of fuzzy numbers in real-world problems.  ...  A triangular fuzzy number is defined by three real numbers, namely, the triplet (a, b, c), where a < b < c.  ... 
doi:10.1016/j.smr.2012.06.002 fatcat:cgnpbxwp4vgq3jrfsirvmkofmy
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