Results 51 to 60 of about 5,252 (252)
De Novo Programming with Fuzzy Coefficients and Multiple Fuzzy Goals
Journal of Mathematical Analysis and Applications, 1993 The paper, a continuation of an earlier one discussing the same subject [see the authors, ibid. 153, No. 1, 97-111 (1990; Zbl 0719.90092)], presents an approach to the multiple criteria de novo programming which makes use of fuzzy methodology. The de novo multiple criteria programming problem is expressed in the form of a problem with multiple fuzzy ...
Li, R.J., Lee, E.S.
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Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning
Advanced Science, EarlyView.We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng +5 more
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Neutrosophic Goal Programming Approach to A Green Supplier Selection Model with Quantity Discount [PDF]
Neutrosophic Sets and Systems, 2019 In this study, we have proposed a supplier selection problem with the goals of minimizing the net cost, minimizing the net rejections, minimizing the net late deliveries, and minimizing the net green house gas emission subject to realistic constraints ...
Sahidul Islam, Sayan Chandra Deb
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Advanced Science, EarlyView.This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
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International Journal of Computational Intelligence Systems, 2017 In this article a fuzzy multiobjective chance constrained programming model is used for modeling and solving land allocation problems efficiently with the help of fuzzy goal programming.
Animesh Biswas, Nilkanta Modak
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Fuzzy Goal Programming and an Application of Production Process
, 2007 Nowadays, information and advanced technology are commonly used. It is certain that the societies which benefit from information and technology will be more successful in this world where global competition is intensive. So managers must decide fast and right in the global competition.
Ertugul, İrfan, Güeş, M.
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Advanced Science, EarlyView.A fluorinated hydrogen‐bonded organic framework nanocarrier (PFC‐1‐F) loaded with PYR and coated with HACC enables multi‐stimuli‐responsive (enzyme/ROS/pH) release at infection sites. Exhibiting targeted antifungal activity against Sclerotium rolfsii, modulating plant antioxidant defense, and demonstrating favorable biosafety across plant, soil, and ...
Guangming Ma +6 more
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Fractional Mathematical modeling for production planning - with fuzzy approach (Case study: Khavar-E-Miane Furniture Co) [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2011 Nowadays the most important issues considered by the managers of industry is production planning and in this area, managers are faced with several goals that in many cases are in conflict with each other.
Adel Azar +2 more
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Advanced Science, EarlyView.Task‐adaptive programmable optics enables label‐free virtual staining through optical‐attention‐guided acquisition and reconstruction. By optimizing wavelength, illumination angle, exposure time, and imaging depth, the framework learns task‐relevant optical measurements, generating clinically interpretable virtual stains with improved fidelity, non ...
Tianyue He +13 more
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Preemptive Fuzzy Goal Programming in Fuzzy Environments
Southeast Europe Journal of Soft Computing, 2012 There are a variety of efficient approaches to solve crisp multiple objective decision making problems. However in the real life the input data may not be precisely determined because of the incomplete information. This paper deals with a method which can be applied to solve fuzzy multi objective production marketing problems.
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