Results 11 to 20 of about 22,163 (300)
Quaternionic Serret-Frenet Frames for Fuzzy Split Quaternion Numbers
We build the concept of fuzzy split quaternion numbers of a natural extension of fuzzy real numbers in this study. Then, we give some differential geometric properties of this fuzzy quaternion.
Cansel Yormaz +2 more
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Axiomatic of Fuzzy Complex Numbers
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.
Angel Garrido
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Difference sequence space (...) of fuzzy real numbers
The difference sequence space of fuzzy real numbers for both 1 ≤ p < 8 and 0
Tripathy, Binod Chandra +1 more
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A fuzzy methodology for approaching fuzzy sets of the real line by fuzzy numbers
This manuscript has been partially supported by Junta de Andalucía by Project FQM-365 of the Andalusian CICYE, and also by Projects PID2020-119478GB-I00 and PID2019-108392GB-I00 (AEI/10.13039/501100011033 , Ministerio de Ciencia e Innovación).
Antonio-Francisco Roldán-López-de-Hierro +3 more
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A novel method for solving multi- objective linear fractional programming problem under uncertainty [PDF]
This paper deals with a multi-objective linear fractional programming problem in fuzzy environment. The problem is considered by introducing all the parameters as piecewise quadratic fuzzy numbers.
Ibrahim Mohamed Mekawy
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Bipolar Dissimilarity and Similarity Correlations of Numbers
Many papers on fuzzy risk analysis calculate the similarity between fuzzy numbers. Usually, they use symmetric and reflexive similarity measures between parameters of fuzzy sets or “centers of gravity” of generalized fuzzy numbers represented by real ...
Ildar Z. Batyrshin, Edit Tóth-Laufer
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Pythagorean Fuzzy Numbers are more capable of modeling uncertainties in real-life decision-making situations than Intuitionistic Fuzzy Numbers. Majority of research in Pythagorean Fuzzy Numbers, used in Multiple Criteria Decision-Making problems, has ...
Alaa F. Momena, Nidal Abu-Zahra
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Certain Algorithms for Modeling Uncertain Data Using Fuzzy Tensor Product Bézier Surfaces
Real data and measures are usually uncertain and cannot be satisfactorily described by accurate real numbers. The imprecision and vagueness should be modeled and represented in data using the concept of fuzzy numbers.
Musavarah Sarwar, Muhammad Akram
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Extending fuzzy semantic model by advanced decision rules [PDF]
This paper extends FSM, a recently proposed semantic data model that supports fuzziness, imprecision and uncertainty of real-world. More precisely, the paper proposes four new concepts, decisional grouping, inhibition, multiplicity and selection, which ...
Ellouze, L. +7 more
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Some Induced Aggregating Operators with Fuzzy Number Intuitionistic Fuzzy Information and their Applications to Group Decision Making [PDF]
With respect to multiple attribute group decision making (MAGDM) problems in which both the attribute weights and the expert weights take the form of real numbers, attribute values take the form of fuzzy number intuitionistic fuzzy numbers, a new group ...
Guiwi Wei, Xiaofei Zhao, Rui Lin
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