Results 1 to 10 of about 6,233 (217)

Complex Uncertainty of Surface Data Modeling via the Type-2 Fuzzy B-Spline Model

open access: yesMathematics, 2021
This paper discusses the construction of a type-2 fuzzy B-spline model to model complex uncertainty of surface data. To construct this model, the type-2 fuzzy set theory, which includes type-2 fuzzy number concepts and type-2 fuzzy relation, is used to ...
Rozaimi Zakaria   +3 more
doaj   +1 more source

FPGA Implementation of Mean – Max Membership basedDefuzzifier Unit [PDF]

open access: yesKirkuk Journal of Science, 2015
The output of fuzzification process, a fuzzy data, is unsuitable for real time applications and needs to be converted into a crisp value. The process of defuzzification is very important and has a significant impact on the overall performance of a fuzzy ...
Asim M. Murshid
doaj   +1 more source

An order level inventory model under two level storage system with fuzzy demand [PDF]

open access: yesYugoslav Journal of Operations Research, 2013
Deterministic inventory model with two levels of storage has been studied by numerous authors. In this paper we developed a fuzzy inventory model with two ware houses (one is the existing storage known as own warehouse (OW) and the other is hired on ...
Sakrar S., Chakrabarti T.
doaj   +1 more source

A New Ranking Method for Interval-Valued Intuitionistic Fuzzy Numbers and Its Application in Multi-Criteria Decision-Making

open access: yesMathematics, 2021
Ranking of interval-valued intuitionistic fuzzy numbers (IVIFNs) is an important task for solving real-life Decision-Making problems. It is a potential area of research that has attracted the researchers working in fuzzy mathematics.
Jeevaraj Selvaraj, Abhijit Majumdar
doaj   +1 more source

FUZZY-LOGICAL APPROACH TO CONSTRUCTING AN INTEGRAL INDICATOR IN A LEVEL ESTIMATION MODEL SIGNIFICANT MARKET ADVANTAGE

open access: yesBaltic Journal of Economic Studies, 2021
The purpose of this research is to construct fuzzy expert system to estimate an integral degree of market concentration by fuzzy-logical approach. The methodological basis of the study consists of scientific works of domestic and foreign scientists and ...
Valentin Myachin, Olena Yudina
doaj   +1 more source

Center of Largest Area Defuzzifier Vnit VLSI Architecture

open access: yesTikrit Journal of Pure Science, 2023
Defuzzification unit combines fuzzy variables and fuzzy decisions to form a corresponding real (crisp or non-fuzzy) signal which can be used then to actuate some processes.
Asim Majeed Murshid   +2 more
doaj   +1 more source

Intersection-Based Routing with Fuzzy Multi-Factor Decision for VANETs

open access: yesApplied Sciences, 2021
Due to the limitations of the urban environment, the data transferred between vehicles can only change direction at the intersections. Therefore, the routing decision at an intersection will largely affect the overall routing decision.
Zhenbo Cao, Zujie Fan, Jaesool Kim
doaj   +1 more source

Defuzzification in the process of managerial estimating the value of agricultural lands

open access: yesAgricultural and Resource Economics, 2021
Purpose. The main purpose of the research is to substantiate the methodological approach of defuzzification and to define its peculiarities in the process of estimating the value of agricultural lands. Methodology / approach.
Tetiana Ostapchuk   +4 more
doaj   +1 more source

Application of Mamdani Fuzzy Inference System in Poultry Weight Estimation

open access: yesAnimals, 2023
Traditional manual weighing systems for birds on poultry farms are time-consuming and may compromise animal welfare. Although automatic weighing systems have been introduced as an alternative, they face limitations in accurately estimating the weight of ...
Erdem Küçüktopçu   +2 more
doaj   +1 more source

Centroids Beyond Defuzzification

open access: yes, 2021
In general, expert rules expressed by imprecise (fuzzy) words of natural language like "small" lead to imprecise (fuzzy) control recommendations. If we want to design an automatic controller, we need, based on these fuzzy recommendations, to generate a single control value. A procedure for such generation is known as defuzzification.
Figueroa-Garcia, Juan Carlos   +2 more
openaire   +3 more sources

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