Results 181 to 190 of about 64,219 (248)

Assessment of Physicochemical Properties and Consumer Preferences of Multi-Millet Extruded Snacks Using a Fuzzy Logic Approach. [PDF]

Foods
Singh TB, Saini RK, Kaushik R, Sasikumar R, Kambhampati V, Singh S, Chawla P.   +6 more
europepmc   +1 more source

Defining the multifaceted roles of dental academics: A consensus approach using the Fuzzy Delphi Method. [PDF]

PLoS One
Ahmad NA, Abu Kasim NH, Musa S, Othman SA, Naimie Z.   +4 more
europepmc   +1 more source

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Triangular Fuzzy Numbers Multiplication: QKB method

2021
Triangular Fuzzy numbers (TFNs) are vast and common representation of fuzzy data in applied sciences. Multiplication is a very indispensable operation for fuzzy numbers. It is necessary to decompose fuzzy systems such as fully triangular fuzzy regression models where the unknown and unrestricted triangular fuzzy coefficients multiplied by known TFNs as
AlQudaimi, Abdullah, Kaur, Kuljeet, Bhat, Shahid   +2 more
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A Three-Way Decision Methodology With Regret Theory via Triangular Fuzzy Numbers in Incomplete Multiscale Decision Information Systems

IEEE transactions on fuzzy systems, 2023
The three-way decision theory provides a three-way philosophical thinking to solve problems, and the regret theory quantifies the risk preferences of decision makers under different psychological behaviors.
Jianming Zhan, Jiang Deng, Zeshui Xu, Luis Martínez   +3 more
semanticscholar   +1 more source

Fuzzy distance of triangular fuzzy numbers

Journal of Intelligent & Fuzzy Systems, 2013
In this paper, a new triangular fuzzy distance is proposed for two triangular fuzzy numbers and this distance is developed and applied for two points in a K-dimensional space. In this fuzzy distance we use the left and right point. Its calculations are easier compared to the previous presented distances and its result is always a non negative fuzzy ...
Sadi-Nezhad, Soheil, Noroozi-yadak, Ameneh, Makui, Ahmad   +2 more
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Fuzzy SVM Based on Triangular Fuzzy Numbers

2007 International Conference on Machine Learning and Cybernetics, 2007
Support vector machine (SVM) is novel type learning machine, based on statistical learning theory, whose tasks involve classification, regression or novelty detection. Traditional SVM classifies the data with numerical features. However, in most cases of real world, there are much more data with fuzzy features.
Qiang He, Cong-Xin Wu, Eric C.C. Tsang
openaire   +1 more source

Fuzzy c-means clustering method with the fuzzy distance definition applied on symmetric triangular fuzzy numbers

Journal of Intelligent & Fuzzy Systems, 2020
The conventional fuzzy c-means (FCM) clustering method can be applied on data, where data features are crisp; however, when the features are fuzzy, the conventional FCM cannot be utilized.
Hadi Mahdipour Hossein-Abad, M. Shabanian, I. A. Kazerouni   +2 more
semanticscholar   +1 more source

A NEW METHOD FOR RANKING TRIANGULAR FUZZY NUMBERS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2012
The ranking and comparing of fuzzy numbers have important practical uses, such as in risk analysis problems, decision-making, optimization, forecasting, socioeconomic systems, control and certain other fuzzy application systems. Several methods for ranking fuzzy numbers have been widely-discussed though most of them have shortcomings.
Akyar, Emrah, Akyar, Handan, Düzce, Serkan Ali   +2 more
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RIDGE REGRESSION PROCEDURES FOR FUZZY MODELS USING TRIANGULAR FUZZY NUMBERS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004
This paper presents a new method of estimating fuzzy multivariable linear and nonlinear regression models using triangular fuzzy numbers. This estimation method is obtained by implementing a dual version of the ridge regression procedure for linear models.
Hong, Dug Hun, Hwang, Changha
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PROJECT CHARACTERISTICS WITH TRIANGULAR FUZZY NUMBER

2023
The Critical Path Method (CPM) is required to plan, organize, and arrange for major project networks. A clear estimate of the time duration will help in the successful execution of the CPM. However, the time duration cannot be precisely specified in real life.
Adilakshmi Siripurapu , Nowpada, Ravi Shankar   +1 more
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