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Multilingual voice-enabled informatics tools: Catalyst for equitable AI in HIV and HIV-comorbidity healthcare management. [PDF]
Oluwagbemi OO +6 more
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A multi-dimensional evaluation model for power enterprise procurement performance based on fuzzy analytic hierarchy process and TOPSIS integration. [PDF]
Zhao H, Song S, Lv X, Bao Y.
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Prioritization of hospital resilience indicators for disaster preparedness: a fuzzy Delphi-AHP approach in Iranian public hospitals. [PDF]
Nakhaeipour M +4 more
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Triangular and parametric approximations of fuzzy numbers—inadvertences and corrections
Fuzzy Sets and Systems, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Adrian I Ban
exaly +2 more sources
Fuzzy distance of triangular fuzzy numbers
Journal of Intelligent & Fuzzy Systems, 2013In 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 ...
Soheil Sadi-Nezhad +2 more
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Note on ranking fuzzy triangular numbers
International Journal of Intelligent Systems, 1998This paper deals with the problem of ranking a set of alternatives, represented by triangular fuzzy numbers, in decision-making situations. Three new methods are proposed, and a notion of preference between alternatives is suggested. A comparison with other methods is provided in the concluding table. © 1998 John Wiley & Sons, Inc.
FACCHINETTI, Gisella +2 more
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Notes on triangular intuitionistic fuzzy numbers
International Journal of Mathematics in Operational Research, 2013The notion of triangular fuzzy number is put forward on the basis of intuitionistic fuzzy sense. The basic algebra and some non-linear operations of triangular intuitionistic fuzzy numbers (TIFNs) are devised. The average ranking index is introduced to find out order relations between two TIFNs.
Mijanur Rahaman Seikh +2 more
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Fuzzy SVM Based on Triangular Fuzzy Numbers
2007 International Conference on Machine Learning and Cybernetics, 2007Support 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
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Rotation of triangular fuzzy numbers via quaternion
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014In this paper we introduced the concept of three-dimensional triangular fuzzy number and their properties are investigated. It is shown that this set has important metrical properties, e.g convexity. The paper also provides a rotation method for such numbers based on quaternion and aggregation operator.
Ronildo P. A. Moura +3 more
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