Results 21 to 30 of about 6,858 (264)
The preference order of fuzzy numbers
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Chen, L.-H., Lu, H.-W.
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New Order on Type 2 Fuzzy Numbers [PDF]
Since Lotfi A. Zadeh introduced the concept of fuzzy sets in 1965, many authors have devoted their efforts to the study of these new sets, both from a theoretical and applied point of view. Fuzzy sets were later extended in order to get more adequate and flexible models of inference processes, where uncertainty, imprecision or vagueness is present ...
Pablo Hernández +3 more
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The objective of this article is to explore and generalize the notions of soft set and rough set along with spherical fuzzy set and to introduce the novel concept called spherical fuzzy soft rough set that is free from all those complications faced by ...
Leina Zheng +4 more
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The idea of bipolar complex fuzzy (BCF) sets, as a genuine modification of both bipolar fuzzy sets and complex fuzzy sets, gives a massive valuable framework for representing and evaluating ambiguous information.
Tahir Mahmood +4 more
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Investors’ preference order of fuzzy numbers
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Hsuan-Ku Liu, Berlin Wu, Ming-Long Liu
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The Z number defined by Zadeh can depict the fuzzy restriction/value and reliability measure by an ordered pair of fuzzy values to strengthen the reliability of the fuzzy restriction/value. However, there exist truth and falsehood Z-numbers in real life.
Mailing Zhao, Jun Ye
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Model Penentuan Jumlah Pesanan Pada Aktifitas Supply Chain Telur Ayam Menggunakan Fuzzy Logic
This study aims to present a fuzzy logic approach in the modeling of optimal order quantities of chicken eggs to suppliers. Determination of the number of egg orders using fuzzy logic by considering the condition of supply and demand so that the number ...
Sesar Husen Santosa +1 more
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Total ordering for intuitionistic fuzzy numbers
Intuitionistic fuzzy set plays a vital role in decision making, data analysis, and artificial intelligence. Many decision‐making problems consist of different types of datum, where fuzzy set theoretical approaches may fail to obtain the optimal decision.
V. Lakshmana Gomathi Nayagam +2 more
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Existing missile defense target threat assessment methods ignore the target timing and battlefield changes, leading to low assessment accuracy. In order to overcome this problem, a dynamic multi-time fusion target threat assessment method is proposed. In
Chengli Fan +5 more
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Estimation of Food Security Risk Level Using Z-Number-Based Fuzzy System
Fuzzy logic systems based on If-Then rules are widely used for modelling of the systems characterizing imprecise and uncertain information. These systems are basically based on type-1 fuzzy sets and allow handling the uncertain and imprecise information ...
Rahib H. Abiyev +4 more
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