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Fuzzy Real Option Evaluation of Real Estate Project Based on Risk Analysis
Systems Engineering Procedia, 2011 AbstractThe initial investment decision-making of the real estate project is very important. It requires making the right assessment of engineering project risk, then judging the project potential value which is affected by the risk factors. Within this context, fuzzy mathematics is used to assess the levels of income risk and cost risk in the real ...
Wu Wenjing, Yihua Mao
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Fuzzy Neutrosophic Turiyam Sets Diagrammatic and Operational Analysis with Real World Applications
Neutrosophic Sets and SystemsIn this paper, the fourth dimension of neutrosophy, that of "Turiyam," is examined as it symbolizes the "absolute" or "transcendental" essence that preexists and permeates the truth triad, indeterminacy, and the falsity trio.
Poongothai Eswaran +2 more
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A New Efficient Approach for Updating Formal Fuzzy Concepts [PDF]
IJCI International Journal of Computers and Information, 2023 Formal fuzzy concept analysis is an effective data analysis and mining technique in the real world. However, deriving formal fuzzy concepts is an NP problem that demands substantial time and storage resources.
Ebtesam Shemis +3 more
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Stability analysis with general fuzzy measure: An application to social security organizations
PLoS ONE, 2022 An effective method for evaluating the efficiency of peer decision-making units (DMUs) is data envelope analysis (DEA). In engineering sciences and real-world management problems, uncertainty in input and output data always exists.
Nasim Arabjazi +3 more
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Journal of Applied Science and Engineering, 2022 Although the systematic emergence of the fuzzy functional analysis theory has started in the last few years, we are starting to construct a new theory of fuzzy operator ideals inspired by the classical (crisp) operator ideals theory.
Laith K. Shaakir +2 more
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Application of improved fuzzy best worst analytic hierarchy process on renewable energy [PDF]
PeerJ Computer Science, 2021 In this work, a novel fuzzy decision making technique namely trapezoidal fuzzy Best-Worst method (fuzzy BWM) is developed which is based on Best-Worst method (BWM) and Trapezoidal fuzzy number.
Priyanka Majumder +3 more
doaj +2 more sources
Bipolar Dissimilarity and Similarity Correlations of Numbers
Mathematics, 2022 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
doaj +1 more source
IEEE Access, 2020 This paper presents a real-time machine learning control (MLC) of articulated robotic manipulators using artificial bee colony optimization (ABC) algorithm incorporated with fuzzy theory. The modified ABC with dynamic weight is used to optimize the fuzzy
Hsu-Chih Huang, Chun-Chia Chuang
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Fractal and Fractional, 2022 Partial differential equations are known to be increasingly important in today’s research, and their solutions are paramount for tackling numerous real-life applications.
Sarmad A. Altaie +5 more
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Dutse Journal of Pure and Applied Sciences, 2023 Over the years, a number of studies have been conducted in terms of forecasting the real gross domestic product (GDP) of Nigeria. The GDP growth rate measures the annual growth rate in percentage of the monetary value of all finished goods and services made within a country. It is an important indicator of economic growth.
Bakawu, Maigana Alhaji +2 more
openaire +2 more sources