Relevant bibliographies by topics / Fuzzy Weighted

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Fuzzy Weighted'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Fuzzy Weighted"

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Shyi-Ming Chen. "Weighted fuzzy reasoning using weighted fuzzy Petri nets." IEEE Transactions on Knowledge and Data Engineering 14, no. 2 (2002): 386–97. http://dx.doi.org/10.1109/69.991723.

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Sirbiladze, G., and A. Sikharulidze. "Weighted Fuzzy Averages in Fuzzy Environment: Part II. Generalized Weighted Fuzzy Expected Values in Fuzzy Environment." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11, no. 02 (2003): 159–72. http://dx.doi.org/10.1142/s0218488503001990.

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The weighted fuzzy expected value (WFEV) of the population for a sampling distribution was introduced in 1. In 2 the notion of WFEV is generalized for any fuzzy measure on a finite set (WFEVg). The latter paper also describes the notions of weighted fuzzy expected intervals WFEI and WFEIg which are an interval extension of WFEV and WFEVg, respectively, when due to ''scarce'' data the fuzzy expected value (FEV) 3 does not exist, but the fuzzy expected interval (FEI) 3 does. In this paper, The generalizations GWFEVg and GWFEIg of WFEVg and WFEIg, respectively, are introduced for any fuzzy measur
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Rojas-Mora, Julio, Didier Josselin, Jagannath Aryal, Adrien Mangiavillano, and Philippe Ellerkamp. "The Weighted Fuzzy Barycenter." International Journal of Agricultural and Environmental Information Systems 4, no. 4 (2013): 48–67. http://dx.doi.org/10.4018/ijaeis.2013100103.

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In this paper, the authors present a methodology to solve the weighted barycenter problem when the data is inherently fuzzy. This method, from data clustered by expert visual inspection of maps, calculates bi-dimensional fuzzy numbers from the spatial clusters, which in turn are used to obtain the weighted fuzzy barycenter of a particular area. The authors apply the methodology, to a particularly apt data set of forest fire breakouts in the PACA region of southeastern France, gathered from 1986 to 2008, and sliced into five periods over which the fuzzy weighted barycenter for each one is obtai
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Wang, Weize, and Jerry M. Mendel. "Intuitionistic Fuzzy Hybrid Weighted Arithmetic Mean and Its Application in Decision Making." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 27, no. 03 (2019): 353–73. http://dx.doi.org/10.1142/s0218488519500168.

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Atanassov’s intuitionistic fuzzy sets (AIFSs), characterized by a membership function, a non-membership function, and a hesitancy function, is a generalization of a fuzzy set. There are various intuitionistic fuzzy hybrid weighted aggregation operators to deal with multi-attribute decision making problems which consider the importance degrees of the arguments and their ordered positions simultaneously. However, these existing hybrid weighed aggregation operators are not monotone with respect to the total order on intuitionistic fuzzy values (AIFVs), which is undesirable. Based on the Łukasiewi
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Zeng, Wenyi, Rong Ma, Deqing Li, Qian Yin, Zeshui Xu, and Ahmed Mostafa Khalil. "Novel operations of weighted hesitant fuzzy sets and their group decision making application." AIMS Mathematics 7, no. 8 (2022): 14117–38. http://dx.doi.org/10.3934/math.2022778.

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<abstract><p>Weighted hesitant fuzzy set (WHFS) is an extension of hesitant fuzzy set (HFS), in which the weights indicate that the decision maker has different confidence in giving every possible assessment of the membership degree. In this paper, we redefine the union and intersection operations of weighted hesitant fuzzy elements (WHFEs), investigate their operation properties, and propose the variance function of the weighted hesitant fuzzy element (WHFE) to compare WHFEs. Furthermore, we develop two aggregation operators such as weighted hesitant fuzzy ordered weighted averagi
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Qiyas, Muhammad, Muhammad Ali Khan, Saifullah Khan, and Saleem Abdullah. "Concept of Yager operators with the picture fuzzy set environment and its application to emergency program selection." International Journal of Intelligent Computing and Cybernetics 13, no. 4 (2020): 455–83. http://dx.doi.org/10.1108/ijicc-06-2020-0064.

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PurposeThe aim of this study as to find out an approach for emergency program selection.Design/methodology/approachThe authors have generated six aggregation operators (AOs), namely picture fuzzy Yager weighted average (PFYWA), picture fuzzy Yager ordered weighted average, picture fuzzy Yager hybrid weighted average, picture fuzzy Yager weighted geometric (PFYWG), picture fuzzy Yager ordered weighted geometric and picture fuzzy Yager hybrid weighted geometric aggregations operators.FindingsFirst of all, the authors defined the score and accuracy function for picture fuzzy set (FS), and some fu
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YAGHOOBI, M. A., D. F. JONES, and M. TAMIZ. "WEIGHTED ADDITIVE MODELS FOR SOLVING FUZZY GOAL PROGRAMMING PROBLEMS." Asia-Pacific Journal of Operational Research 25, no. 05 (2008): 715–33. http://dx.doi.org/10.1142/s0217595908001973.

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Weighted additive models are well known for dealing with multiple criteria decision making problems. Fuzzy goal programming is a branch of multiple criteria decision making which has been applied to solve real life problems. Several weighted additive models are introduced to handle fuzzy goal programming problems. These models are based on two approaches in fuzzy goal programming namely goal programming and fuzzy programming techniques. However, some of these models are not able to solve all kinds of fuzzy goal programming problems and some of them that appear in current literature suffer from
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Guu, Sy-Ming. "Fuzzy weighted averages revisited." Fuzzy Sets and Systems 126, no. 3 (2002): 411–14. http://dx.doi.org/10.1016/s0165-0114(01)00078-1.

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Yeung, D. S., and E. C. C. Tsang. "Weighted fuzzy production rules." Fuzzy Sets and Systems 88, no. 3 (1997): 299–313. http://dx.doi.org/10.1016/s0165-0114(96)00052-8.

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Dubois, Didier, Henri Prade, and Claudette Testemale. "Weighted fuzzy pattern matching." Fuzzy Sets and Systems 28, no. 3 (1988): 313–31. http://dx.doi.org/10.1016/0165-0114(88)90038-3.

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Dissertations / Theses on the topic "Fuzzy Weighted"

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Cai, Chun Hing. "Mining association rules with weighted items." Hong Kong : Chinese University of Hong Kong, 1998. http://www.cse.cuhk.edu.hk/%7Ekdd/assoc%5Frule/thesis%5Fchcai.pdf.

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Thesis (M. Phil.)--Chinese University of Hong Kong, 1998.<br>Description based on contents viewed Mar. 13, 2007; title from title screen. Includes bibliographical references (p. 99-103). Also available in print.
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Li, XuQin. "Data mining using intelligent systems : an optimized weighted fuzzy decision tree approach." Thesis, University of Warwick, 2010. http://wrap.warwick.ac.uk/38159/.

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Data mining can be said to have the aim to analyze the observational datasets to find relationships and to present the data in ways that are both understandable and useful. In this thesis, some existing intelligent systems techniques such as Self-Organizing Map, Fuzzy C-means and decision tree are used to analyze several datasets. The techniques are used to provide flexible information processing capability for handling real-life situations. This thesis is concerned with the design, implementation, testing and application of these techniques to those datasets. The thesis also introduces a hybr
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Kishk, Mohammed El-Said. "An integrated fuzzy approach to whole life costing based decision making." Thesis, Robert Gordon University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369051.

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Tang, Zongpei. "Selecting Optimal Residential Locations Using Fuzzy GIS Modeling." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5396/.

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Integrating decision analytical techniques in geographic information systems (GIS) can help remove the two primary obstacles in spatial decision making: inaccessibility to required geographic data and difficulties in synthesizing various criteria. I developed a GIS model to assist people seeking optimal residential locations. Fuzzy set theory was used to codify criteria for each factor used in evaluating residential locations, and weighted linear combination (WLC) was employed to simulate users' preferences in decision making. Three examples were used to demonstrate the applications in the stu
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Cunningham, Joanne Marie. "A Comparison of Methods to Construct an Optimal Membership Function in a Fuzzy Database System." VCU Scholars Compass, 2006. http://scholarscompass.vcu.edu/etd/877.

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A fuzzy set is one in which membership in a category is not Boolean, rather items have a degree of membership. Fuzzy databases expand on this idea by storing fuzzy data and allowing data to be retrieved based on its degree of membership. Determining the degree of membership that satisfies the largest number of users is difficult. Five different methods of determining the membership function: the Direct Rating Method, the Random Method with step sizes of .02 and .03, the Steplock Method, and the Weighted Average Method, were compared on the basis of convergence and user satisfaction. The re
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Dixon, Walter L. "The Geometric Mean as a Generator of Truth-Value in Heuristic Expert Systems: An Improvement over the Fuzzy Weighted Arithmetic Mean." NSUWorks, 2002. http://nsuworks.nova.edu/gscis_etd/489.

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Many earlier expert systems that were modeled after MYCIN, the first expert system, employed truth-value factors for their rule antecedents (premises) and consequents (conclusions). These crisp truth-value factors were usually called certainty factors and attempted to provide a measure of confidence and computational capability to the analysis of rule uncertainty (Shortliffe, 1977; Kandel, 1994). However, in the literature criticism has been often expressed concerning the lack of precision a crisp truth/certainty factor value conveys (Zadeh, 1983; Turban, 1993). Zadeh (1973) and Xingui (1988)
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Gedda, Magnus. "Contributions to 3D Image Analysis using Discrete Methods and Fuzzy Techniques : With Focus on Images from Cryo-Electron Tomography." Doctoral thesis, Uppsala universitet, Centrum för bildanalys, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-121579.

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With the emergence of new imaging techniques, researchers are always eager to push the boundaries by examining objects either smaller or further away than what was previously possible. The development of image analysis techniques has greatly helped to introduce objectivity and coherence in measurements and decision making. It has become an essential tool for facilitating both large-scale quantitative studies and qualitative research. In this Thesis, methods were developed for analysis of low-resolution (in respect to the size of the imaged objects) three-dimensional (3D) images with low signal
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Demircioglu, Ersan. "A Novel Refinement Method For Automatic Image Annotation Systems." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613346/index.pdf.

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Image annotation could be defined as the process of assigning a set of content related words to the image. An automatic image annotation system constructs the relationship between words and low level visual descriptors, which are extracted from images and by using these relationships annotates a newly seen image. The high demand on image annotation requirement increases the need to automatic image annotation systems. However, performances of current annotation methods are far from practical usage. The most common problem of current methods is the gap between semantic words and low level visual
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Kabnurkar, Amit. "Mathematical Modeling for Data Envelopment Analysis with Fuzzy Restrictions on Weights." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/31992.

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Data envelopment analysis (DEA) is a relative technical efficiency measurement tool, which uses operations research techniques to automatically calculate the weights assigned to the inputs and outputs of the production units being assessed. The actual input/output data values are then multiplied with the calculated weights to determine the efficiency scores. Recent variants of the DEA model impose upper and lower bounds on the weights to eliminate certain drawbacks associated with unrestricted weights. These variants are called weight restriction DEA models. Most weight restriction DEA models
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Chao, Chien-Shiung, and 趙建雄. "Weighted Fuzzy-PID Controllers." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/59758698469808879581.

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碩士<br>國立中央大學<br>電機工程研究所<br>92<br>This thesis investigates the technique of the weighted fuzzy-PID controllers by means of genetic algorithms. First, we propose a weighted function to tune the weights of the system error into the fuzzy controller. Then, output of the fuzzy controller is transmitted into a PID controller to control plant. The controllers can stabilize a process with a minimal amount of prior knowledge and improve rise time, settling time and overshoot effectively. Some illustrative examples demonstrate that satisfactory performance is achieved. By means of genetic algorithms, th
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Books on the topic "Fuzzy Weighted"

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Mathew, Sunil, John N. Mordeson, and M. Binu. Weighted and Fuzzy Graph Theory. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39756-1.

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1941-, Yager Ronald R., and Kacprzyk Janusz, eds. The ordered weighted averaging operators: Theory and applications. Kluwer Academic Publishers, 1997.

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Yager, Ronald R. The Ordered Weighted Averaging Operators: Theory and Applications. Springer US, 1997.

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Yager, Ronald R. Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice. Springer-Verlag Berlin Heidelberg, 2011.

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Gaxiola, Fernando, Patricia Melin, and Fevrier Valdez. New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-34087-6.

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Weighted and Fuzzy Graph Theory. Springer, 2023.

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(Editor), Ronald R. Yager, and J. Kacprzyk (Editor), eds. The Ordered Weighted Averaging Operators: Theory and Applications. Springer, 1997.

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Gaxiola, Fernando, Patricia Melin, and Fevrier Valdez. New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks. Springer International Publishing AG, 2016.

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Gaxiola, Fernando, Patricia Melin, and Fevrier Valdez. New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks. Springer London, Limited, 2016.

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Ślusarski, Marek. Metody i modele oceny jakości danych przestrzennych. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-30-4.

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The quality of data collected in official spatial databases is crucial in making strategic decisions as well as in the implementation of planning and design works. Awareness of the level of the quality of these data is also important for individual users of official spatial data. The author presents methods and models of description and evaluation of the quality of spatial data collected in public registers. Data describing the space in the highest degree of detail, which are collected in three databases: land and buildings registry (EGiB), geodetic registry of the land infrastructure network
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Book chapters on the topic "Fuzzy Weighted"

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Bien, Zeungnam, and Heegyoo Lee. "Time Weighted Fault Tolerant Control." In Fuzzy Logic. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2014-2_47.

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Li, Fangyi, and Qiang Shen. "Weighted Fuzzy Interpolative Reasoning." In Fuzzy Rule-Based Inference. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0491-0_3.

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Mathew, Sunil, John N. Mordeson, and M. Binu. "Graphs and Weighted Graphs." In Weighted and Fuzzy Graph Theory. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39756-1_1.

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Mathew, Sunil, John N. Mordeson, and M. Binu. "Weighted Graphs and Fuzzy Graphs." In Weighted and Fuzzy Graph Theory. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39756-1_8.

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Li, Fangyi, and Qiang Shen. "Practical Integrated Weighted Approximate Reasoning." In Fuzzy Rule-Based Inference. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0491-0_7.

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Li, Fangyi, and Qiang Shen. "Attribute-Weighted Fuzzy Interpolative Reasoning." In Fuzzy Rule-Based Inference. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0491-0_6.

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Mathew, Sunil, John N. Mordeson, and M. Binu. "Fuzzy Results from Crisp Results." In Weighted and Fuzzy Graph Theory. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39756-1_9.

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Mathew, Sunil, John N. Mordeson, and M. Binu. "More on Connectivity." In Weighted and Fuzzy Graph Theory. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39756-1_3.

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Mathew, Sunil, John N. Mordeson, and M. Binu. "Degree Sequences and Saturation." In Weighted and Fuzzy Graph Theory. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39756-1_6.

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Mathew, Sunil, John N. Mordeson, and M. Binu. "Cycle Connectivity." In Weighted and Fuzzy Graph Theory. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39756-1_4.

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Conference papers on the topic "Fuzzy Weighted"

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Zhao, Yu, Christian Wagner, Brendan Ryan, Direnc Pekaslan, and Javier Navarro. "Interval Agreement Weighted Average - Sensitivity to Data Set Features." In 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2024. http://dx.doi.org/10.1109/fuzz-ieee60900.2024.10612193.

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Luukka, Pasi, Jan Stoklasa, and Mahinda Mailagaha Kumbure. "NNAWA: A Granular Nearest Neighbor Imputation Technique Based on Alpha-Weighted Average." In 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2024. http://dx.doi.org/10.1109/fuzz-ieee60900.2024.10611906.

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Wu, Dongrui, and Jerry M. Mendel. "Ordered fuzzy weighted averages and ordered linguistic weighted averages." In 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2010. http://dx.doi.org/10.1109/fuzzy.2010.5584479.

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Rickard, John T., Janet Aisbett, Ronald R. Yager, and Greg Gibbon. "Linguistic weighted power means: Comparison with the linguistic weighted average." In 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2011. http://dx.doi.org/10.1109/fuzzy.2011.6007346.

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Chen, Shyi-Ming, and Yu-Chuan Chang. "Weights-learning for weighted fuzzy rule interpolation in sparse fuzzy rule-based systems." In 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2011. http://dx.doi.org/10.1109/fuzzy.2011.6007479.

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Le Capitaine, Hoel, and Carl Frelicot. "On (weighted) k-order fuzzy connectives." In 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2010. http://dx.doi.org/10.1109/fuzzy.2010.5584368.

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Hadjahmadi, A. H., M. M. Homayounpour, and S. M. Ahadi. "Robust weighted fuzzy c-means clustering." In 2008 IEEE 16th International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2008. http://dx.doi.org/10.1109/fuzzy.2008.4630382.

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Chen, Shyi-Ming, and Yu-Chuan Chang. "A new method for weighted fuzzy interpolative reasoning based on weights-learning techniques." In 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2010. http://dx.doi.org/10.1109/fuzzy.2010.5584692.

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Suraj, Zbigniew, and Sibasis Bandyopadhyay. "Generalized weighted fuzzy Petri net in intuitionistic fuzzy environment." In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2016. http://dx.doi.org/10.1109/fuzz-ieee.2016.7737992.

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Manikandan, P., M. Geetha, and Jovitha Jerome. "Weighted fuzzy fault tolerant model predictive control." In 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2014. http://dx.doi.org/10.1109/fuzz-ieee.2014.6891875.

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Reports on the topic "Fuzzy Weighted"

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Kucherova, Hanna, Anastasiia Didenko, Olena Kravets, Yuliia Honcharenko, and Aleksandr Uchitel. Scenario forecasting information transparency of subjects' under uncertainty and development of the knowledge economy. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4469.

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Topicality of modeling information transparency is determined by the influence it has on the effectiveness of management decisions made by an economic entity in the context of uncertainty and information asymmetry. It has been found that information transparency is a poorly structured category which acts as a qualitative characteristic of information and at certain levels forms an additional spectrum of properties of the information that has been adequately perceived or processed. As a result of structuring knowledge about the factor environment, a fuzzy cognitive model of information transpar
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Borgwardt, Stefan, Marco Cerami, and Rafael Peñaloza. Subsumption in Finitely Valued Fuzzy EL. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.212.

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Aus der Einleitung: Description Logics (DLs) are a family of knowledge representation formalisms that are successfully applied in many application domains. They provide the logical foundation for the Direct Semantics of the standard web ontology language OWL2. The light-weight DL EL, underlying the OWL2 EL profile, is of particular interest since all common reasoning problems are polynomial in this logic, and it is used in many prominent biomedical ontologies like SNOMEDCT and the Gene Ontology.
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