Academic literature on the topic 'Einstein weighted averaging operator'

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Journal articles on the topic "Einstein weighted averaging operator"

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Rahman, Khaista, Ibrahim M. Hezam, Darko Božanić, Adis Puška, and Miloš Milovančević. "Some Logarithmic Intuitionistic Fuzzy Einstein Aggregation Operators under Confidence Level." Processes 11, no. 4 (2023): 1298. http://dx.doi.org/10.3390/pr11041298.

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The objective of this paper is to introduce some new logarithm operational laws for intuitionistic fuzzy sets. Some structure properties have been developed and based on these, various aggregation operators, namely confidence logarithmic intuitionistic fuzzy Einstein weighted geometric (CLIFEWG) operator, confidence logarithmic intuitionistic fuzzy Einstein ordered weighted geometric (CLIFEOWG) operator, confidence logarithmic intuitionistic fuzzy Einstein hybrid geometric (CLIFEHG) operator, confidence logarithmic intuitionistic fuzzy Einstein weighted averaging (CLIFEWA) operator, confidence
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Fahmi, Aliya, Fazli Amin, Florentin Smarandache, Madad Khan, and Nasruddin Hassan. "Triangular Cubic Hesitant Fuzzy Einstein Hybrid Weighted Averaging Operator and Its Application to Decision Making." Symmetry 10, no. 11 (2018): 658. http://dx.doi.org/10.3390/sym10110658.

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In this paper, triangular cubic hesitant fuzzy Einstein weighted averaging (TCHFEWA) operator, triangular cubic hesitant fuzzy Einstein ordered weighted averaging (TCHFEOWA) operator and triangular cubic hesitant fuzzy Einstein hybrid weighted averaging (TCHFEHWA) operator are proposed. An approach to multiple attribute group decision making with linguistic information is developed based on the TCHFEWA and the TCHFEHWA operators. Furthermore, we establish various properties of these operators and derive the relationship between the proposed operators and the existing aggregation operators. Fin
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Zhang, Wenkai, Xia Li, and Yanbing Ju. "Some Aggregation Operators Based on Einstein Operations under Interval-Valued Dual Hesitant Fuzzy Setting and Their Application." Mathematical Problems in Engineering 2014 (2014): 1–21. http://dx.doi.org/10.1155/2014/958927.

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We investigate the multiple attribute decision making (MADM) problems in which attribute values take the form of interval-valued dual hesitant fuzzy information. Firstly, some operational laws for interval-valued dual hesitation fuzzy elements (IVDHFEs) based on Einstein operations are developed. Then we develop some aggregation operators based on Einstein operations: the interval-valued dual hesitant fuzzy Einstein weighted averaging (IVDHFEWA) operator, interval-valued dual hesitant fuzzy Einstein ordered weighted averaging (IVDHFEOWA) operator, interval-valued dual hesitant fuzzy Einstein h
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Rahman, Khaista, Saleem Abdullah, Asad Ali, and Fazli Amin. "Pythagorean Fuzzy Einstein Hybrid Averaging Aggregation Operator and its Application to Multiple-Attribute Group Decision Making." Journal of Intelligent Systems 29, no. 1 (2018): 736–52. http://dx.doi.org/10.1515/jisys-2018-0071.

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Abstract Pythagorean fuzzy set is one of the successful extensions of the intuitionistic fuzzy set for handling uncertainties in information. Under this environment, in this paper, we introduce the notion of Pythagorean fuzzy Einstein hybrid averaging (PFEHA) aggregation operator along with some of its properties, namely idempotency, boundedness, and monotonicity. PFEHA aggregation operator is the generalization of Pythagorean fuzzy Einstein weighted averaging aggregation operator and Pythagorean fuzzy Einstein ordered weighted averaging aggregation operator. The operator proposed in this pape
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Khan, Arshad, Saleem Abdullah, Muhammad Shakeel, Faisal Khan, Noor Amin, and Jianchao Luo. "A New Ranking Methodology for Pythagorean Trapezoidal Uncertain Linguistic Fuzzy Sets Based on Einstein Operations." Symmetry 11, no. 3 (2019): 440. http://dx.doi.org/10.3390/sym11030440.

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In this article, we proposed new Pythagorean trapezoidal uncertain linguistic fuzzy aggregation information—namely, the Pythagorean trapezoidal uncertain linguistic fuzzy Einstein weighted averaging (PTULFEWA) operator, the Pythagorean trapezoidal uncertain linguistic fuzzy Einstein ordered weighted averaging (PTULFEOWA) operator, and the Pythagorean trapezoidal uncertain linguistic fuzzy Einstein hybrid weighted averaging (PTULFEHWA) operator—using the Einstein operational laws. We studied some important properties of the suggested aggregation operators and showed that the PTULFEHWA is more g
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Chen, Jinping. "An Approach to Multiple Attribute Decision Making with Triangular Intuitionistic Fuzzy Information." Journal of Computational and Theoretical Nanoscience 13, no. 10 (2016): 7285–88. http://dx.doi.org/10.1166/jctn.2016.5710.

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The aim of this paper is to investigate the multiple attribute decision making problems with triangular intuitionistic fuzzy information. Some operational laws of triangular intuitionistic fuzzy sets, score functions of triangular intuitionistic fuzzy sets are introduced. Based on these operational laws, some Einstein aggregation operators, including triangular intuitionistic fuzzy Einstein weighted averaging (TIFEWA) operator, triangular intuitionistic fuzzy Einstein ordered weighted averaging (TIFEOWA) operator and triangular intuitionistic fuzzy Einstein hybrid aggregation (TIFEHA) operator
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Riaz, Muhammad, Wojciech Sałabun, Hafiz Muhammad Athar Farid, Nawazish Ali, and Jarosław Wątróbski. "A Robust q-Rung Orthopair Fuzzy Information Aggregation Using Einstein Operations with Application to Sustainable Energy Planning Decision Management." Energies 13, no. 9 (2020): 2155. http://dx.doi.org/10.3390/en13092155.

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A q-rung orthopair fuzzy set (q-ROFS), an extension of the Pythagorean fuzzy set (PFS) and intuitionistic fuzzy set (IFS), is very helpful in representing vague information that occurs in real-world circumstances. The intention of this article is to introduce several aggregation operators in the framework of q-rung orthopair fuzzy numbers (q-ROFNs). The key feature of q-ROFNs is to deal with the situation when the sum of the qth powers of membership and non-membership grades of each alternative in the universe is less than one. The Einstein operators with their operational laws have excellent
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Rahman, Khaista, Saleem Abdullah, and Muhammad Sajjad Ali Khan. "Some Interval-Valued Pythagorean Fuzzy Einstein Weighted Averaging Aggregation Operators and Their Application to Group Decision Making." Journal of Intelligent Systems 29, no. 1 (2018): 393–408. http://dx.doi.org/10.1515/jisys-2017-0212.

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Abstract In this paper, we introduce the notion of Einstein aggregation operators, such as the interval-valued Pythagorean fuzzy Einstein weighted averaging aggregation operator and the interval-valued Pythagorean fuzzy Einstein ordered weighted averaging aggregation operator. We also discuss some desirable properties, such as idempotency, boundedness, commutativity, and monotonicity. The main advantage of using the proposed operators is that these operators give a more complete view of the problem to the decision makers. These operators provide more accurate and precise results as compared th
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Park, Jin, Yu Park, and Mi Son. "Hesitant Probabilistic Fuzzy Information Aggregation Using Einstein Operations." Information 9, no. 9 (2018): 226. http://dx.doi.org/10.3390/info9090226.

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In this paper, a hesitant probabilistic fuzzy multiple attribute group decision making is studied. First, some Einstein operations on hesitant probability fuzzy elements such as the Einstein sum, Einstein product, and Einstein scalar multiplication are presented and their properties are discussed. Then, several hesitant probabilistic fuzzy Einstein aggregation operators, including the hesitant probabilistic fuzzy Einstein weighted averaging operator and the hesitant probabilistic fuzzy Einstein weighted geometric operator and so on, are introduced. Moreover, some desirable properties and speci
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Rong, Yuan, Zheng Pei, and Yi Liu. "Linguistic Pythagorean Einstein Operators and Their Application to Decision Making." Information 11, no. 1 (2020): 46. http://dx.doi.org/10.3390/info11010046.

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Linguistic Pythagorean fuzzy (LPF) set is an efficacious technique to comprehensively represent uncertain assessment information by combining the Pythagorean fuzzy numbers and linguistic variables. In this paper, we define several novel essential operations of LPF numbers based upon Einstein operations and discuss several relations between these operations. For solving the LPF numbers fusion problem, several LPF aggregation operators, including LPF Einstein weighted averaging (LPFEWA) operator, LPF Einstein weighted geometric (LPFEWG) operator and LPF Einstein hybrid operator, are propounded;
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Dissertations / Theses on the topic "Einstein weighted averaging operator"

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Lan, Chung Kai, and 藍宗凱. "Applying Continuous Ordered Weighted Averaging Operator to Hierarchical Decision Methods based on Interval-valued Fuzzy Preference Relations." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/84869608746806538941.

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碩士<br>長庚大學<br>工商管理學系<br>98<br>Multiple criteria decision making often faced with inaccurate information and changing circumstances. Therefore, Zadeh and Sambuc developed interval-valued fuzzy sets in 1975; it can express the degree of membership in uncertainty. In addition, when we face the highly complexity and large-scale decision making problems, we often simplify the problem by using the hierarchical structure. Over the past literature on the hierarchy structure are based on multiple preference relations to express the preference of decision makers, and most of methods needed to satisfy th
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Han, Wen-Hsin, and 韓文欣. "Fuzzy Multiattribute Decision Making Based on Interval-Valued Intuitionistic Fuzzy Values, Interval-Valued Intuitionistic Fuzzy Weighted Averaging Operator, and Nonlinear Programming Methodology." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/y8vcyj.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>106<br>In this thesis, we propose a new fuzzy multiattribute decision making method based on interval-valued intuitionistic fuzzy values, the interval-valued intuitionistic fuzzy weighted averaging operator, and the nonlinear programming methodology. Firstly, the proposed method calculates the largest ranges of interval-valued intuitionistic fuzzy weights of attributes and modifies unreasonable ranges of interval-valued intuitionistic fuzzy weights. Then, it gets the transformed decision matrix based on the score function of interval-valued intuitionistic fuzzy value
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Books on the topic "Einstein weighted averaging operator"

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

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Beliakov, Gleb, Janusz Kacprzyk, and Ronald R. Yager. Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice. Springer, 2013.

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Book chapters on the topic "Einstein weighted averaging operator"

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Vila, Maria-Amparo, Juan-Carlos Cubero, Juan-Miguel Medina, and Olga Pons. "Using OWA Operator in Flexible Query Processing." In The Ordered Weighted Averaging Operators. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6123-1_20.

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Herrera, F., and E. Herrera-Viedma. "On the Linguistic OWA Operator and Extensions." In The Ordered Weighted Averaging Operators. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6123-1_6.

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Bosc, Patrick, and Ludovic Liétard. "Quantified Statements and Some Interpretations for the OWA Operator." In The Ordered Weighted Averaging Operators. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6123-1_19.

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Torra, Vicenç. "The WOWA Operator: A Review." In Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17910-5_2.

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Pasi, Gabriella, and Ronald R. Yager. "A Majority Guided Aggregation Operator in Group Decision Making." In Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17910-5_6.

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Mishra, Akansha, and Amit Kumar. "Appropriate Weighted Averaging Aggregation Operator Under Some Extensions of the Fuzzy Environment." In Aggregation Operators for Various Extensions of Fuzzy Set and Its Applications in Transportation Problems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6998-2_1.

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Bordogna, G., M. Boschetti, A. Brivio, P. Carrara, M. Pagani, and D. Stroppiana. "Fusion Strategies Based on the OWA Operator in Environmental Applications." In Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17910-5_10.

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Zarghami, Mahdi, and Ferenc Szidarovszky. "Soft Computing in Water Resources Management by Using OWA Operator." In Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17910-5_14.

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Ji, Qiu, Peter Haase, and Guilin Qi. "Combination of Similarity Measures in Ontology Matching Using the OWA Operator." In Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17910-5_15.

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Wu, Hua, and Xiuqin Su. "Interval-Valued Intuitionistic Fuzzy Prioritized Ordered Weighted Averaging Operator and Its Application in Threat Assessment." In Advances in Swarm and Computational Intelligence. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20472-7_2.

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Conference papers on the topic "Einstein weighted averaging operator"

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Joshi, B. P., Shweta Sachdeva, Sangeeta Pant, Shweta Goyal, Anuj Kumar, and Pushpendra Singh Kharayat. "Selection of Electrical Distribution System using SVAS based Einstein Averaging Operator." In 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE, 2024. http://dx.doi.org/10.1109/icacite60783.2024.10616576.

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Malik, Shilpam, B. P. Joshi, Vandana Bisht, Pushpendra Singh Kharayat, and Shweta Goyal. "Ambiguous Fuzzy Einstein Ordered Averaging Operator: Application to the classification of Power Generation methods." In 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE, 2024. http://dx.doi.org/10.1109/icacite60783.2024.10617360.

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Zhou, Ying, Jiarui Zhang, Miao Yu, and Mingzhuo Jiang. "Coordinated Behavioral Ordered Weighted Averaging Operator and Its Application in Group Decision Making." In 2025 5th International Symposium on Computer Technology and Information Science (ISCTIS). IEEE, 2025. https://doi.org/10.1109/isctis65944.2025.11065963.

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Joshi, Bhagawati Prasad, and Pushpendra Singh Kharayat. "Generalized intuitionistic fuzzy einstein weighted averaging aggregation operator." In 2015 International Conference on Computer, Communication and Control (IC4). IEEE, 2015. http://dx.doi.org/10.1109/ic4.2015.7375621.

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Zhou, Xiaoqiang, and Qingguo Li. "Generalized hesitant fuzzy prioritized Einstein weighted averaging operator and its application in group decision making." In 2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY). IEEE, 2013. http://dx.doi.org/10.1109/ifuzzy.2013.6825479.

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Ping-tao, Yi, Guo Ya-jun, and Zhang Dan-ning. "Density Weighted Averaging Middle Operator." In 2006 International Conference on Management Science and Engineering. IEEE, 2006. http://dx.doi.org/10.1109/icmse.2006.313839.

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Gui-Wu Wei. "Dynamic uncertain linguistic weighted averaging operator." In 2008 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2008. http://dx.doi.org/10.1109/icmlc.2008.4620836.

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Isern, David, Lucas Marin, Aida Valls, and Antonio Moreno. "The Unbalanced Linguistic Ordered Weighted Averaging operator." In 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2010. http://dx.doi.org/10.1109/fuzzy.2010.5584199.

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Wei, Gui-Wu, and Wen-De Yi. "Trapezoid Fuzzy Linguistic Weighted Geometric Averaging Operator." In Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007). IEEE, 2007. http://dx.doi.org/10.1109/fskd.2007.594.

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Kurama, Onesfole, Pasi Luukka, and Mikael Collan. "A similarity classifier with generalized ordered weighted averaging operator." In 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS). IEEE, 2017. http://dx.doi.org/10.1109/ifsa-scis.2017.8023327.

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