Results 21 to 30 of about 43,903 (298)

Multi-attribute decision-making method with triangular fuzzy numbers based on regret theory and the catastrophe progression method

Mathematical Biosciences and Engineering, 2022
The purpose of this paper was to develop a novel triangular fuzzy method for multi-attribute decision-making to eliminate the influence of indicator weights on scheme selection and account for the regret psychology of decision-makers.
Nian Zhang, Yifan Zhou , Qiang Pan, Guiwu Wei   +3 more
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Comparison of triangular fuzzy numbers

Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, 2019
The concept of \textit{fuzzy set} of [\textit{L. A. Zadeh}, Inf. Control 8, 338--353 (1965; Zbl 0139.24606)] motivated the development of fuzzy real analysis. In particular, the notion of \textit{fuzzy number} was introduced and basic operations with such new structures were considered (see, e.g., [\textit{D. Dubois} and \textit{H. Prade}, in: Analysis
Ukhobotov, Viktor Ivanovich, Stabulit, Irina Stanislavovna, Kudryavtsev, Konstantin Nikolaevich   +2 more
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Fuzzy subjective evaluation of Asia Pacific airport services [PDF]

, 2010
This paper presents a fuzzy decision-making model to determine the ranking of fourteen Asia Pacific airports based on the services provided to passengers.
Ku-Mahamud, Ku Ruhana, Othman, Mahmod
core   +2 more sources

Solving Fuzzy Sequencing Problem Using Triangular Fuzzy Numbers

International Journal of Scientific Research in Science, Engineering and Technology, 2019
In this paper, we proposed to solve the total time for the Fuzzy Sequencing Problem using Triangular Fuzzy Numbers. Here machines are represented as Fuzzy Numbers. In this Paper a Ranking function for Solving Fuzzy Sequencing Problem are represented where all the machines are in the form of Triangular Fuzzy numbers.
Kanchana. M, Sangeetha. K, Rekha. S
openaire   +1 more source

Aggregation Operators on Triangular Intuitionistic Fuzzy Numbers and its Application to Multi-Criteria Decision Making Problems

Foundations of Computing and Decision Sciences, 2014
The aim of this work is to present some aggregation operators with triangular intuitionistic fuzzy numbers and study their desirable properties. Firstly, the score function and the accuracy function of triangular intuitionistic fuzzy number are given ...
Liang Changyong, Zhao Shuping, Zhang Junling   +2 more
doaj   +1 more source

Building Fuzzy Elevation Maps from a Ground-based 3D Laser Scan for Outdoor Mobile Robots [PDF]

, 2015
Mandow, A; Cantador, T.J.; Reina, A.J.; Martínez, J.L.; Morales, J.; García-Cerezo, A. "Building Fuzzy Elevation Maps from a Ground-based 3D Laser Scan for Outdoor Mobile Robots," Robot2015: Second Iberian Robotics Conference, Advances in Robotics, (2016)
A Birk, A Ciampalini, A Mandow, A Santamaria-Navarro, CH Tong, F Samadzadegan, G Ishigami, J Gu, J Morales, J Serón, J-SR Jang, M Anile, N Vaskevicius, P Pfaff, S Vasudevan, Z-H Xiu   +15 more
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A Fuzzy Inventory Model Without Shortages Using Triangular Fuzzy Number

Fuzzy Information and Engineering, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
De, P. K., Rawat, Apurva
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Averaging functions on triangular fuzzy numbers

, 2023
19 pages, essential ...
Díaz, Roberto, Aparcana, Aldryn, Soto, Diego, Zumelzu, Nicolás, Canumán, José, Mella, Álvaro, Mansilla, Edmundo, Bedregal, Benjamín   +7 more
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Komparasi Fuzzy AHP Dengan AHP Pada Sistem Pendukung Keputusan Investasi Properti [PDF]

, 2014
Investasi di bidang properti dianggap yang paling menguntungkan karena harga properti yang selalu naik dan tidak menghabiskan banyak waktu. Akan tetapi para investor sering kesulitan dalam memilih lokasi investasi yang tepat dan terkadang hal tersebut ...
Faisol, A. (Ahmad), Muslim, M. A. (M), Suyono, H. (Hadi)   +2 more
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An Approach to the Total Least Squares Method for Symmetric Triangular Fuzzy Numbers

Mathematics
The total least squares method has a broad applicability in many fields. It is also useful in fuzzy data analysis. In this paper, we study the method of total least squares for fuzzy variables. The regression parameters are considered to be crisp. First,
Marius Giuclea, Costin-Ciprian Popescu
doaj   +1 more source