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Journal articles on the topic 'Fuzzy linguistic approach'

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Published: 5 June 2025

Last updated: 1 August 2025

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1

Ramachandran, V., V. Sankaranarayanan, and S. Seshasayee. "Fuzzy reliability modelling — Linguistic approach." Microelectronics Reliability 32, no. 9 (1992): 1311–18. http://dx.doi.org/10.1016/0026-2714(92)90654-4.

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Yang, Shanghong, Zhuo Sun, Yanbing Ju, and Chengya Qiao. "A Novel Multiple Attribute Satisfaction Evaluation Approach with Hesitant Intuitionistic Linguistic Fuzzy Information." Mathematical Problems in Engineering 2014 (2014): 1–15. http://dx.doi.org/10.1155/2014/692782.

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This paper investigates the multiple attribute decision making (MADM) problems in which the attribute values take the form of hesitant intuitionistic linguistic fuzzy element (HILFE). Firstly, motivated by the idea of intuitionistic linguistic variables (ILVs) and hesitant fuzzy elements (HFEs), the concept, operational laws, and comparison laws of HILFE are defined. Then, some aggregation operators are developed for aggregating the hesitant intuitionistic linguistic fuzzy information, such as hesitant intuitionistic linguistic fuzzy weighted aggregation operators, hesitant intuitionistic ling

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HERRERA-VIEDMA, E., A. G. LÓPEZ-HERRERA, M. LUQUE, and C. PORCEL. "A FUZZY LINGUISTIC IRS MODEL BASED ON A 2-TUPLE FUZZY LINGUISTIC APPROACH." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, no. 02 (2007): 225–50. http://dx.doi.org/10.1142/s0218488507004534.

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Information Retrieval Systems (IRSs) based on an ordinal fuzzy linguistic approach present some problems of loss of information and lack of precision when working with discrete linguistic expression domains or when applying approximation operations in the symbolic aggregation methods. In this paper, we present a new IRS model based on the 2-tuple fuzzy linguistic approach, which allows us to overcome the problems of ordinal fuzzy linguistic IRSs and improve their performance.

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Shi, Minghua, and Jinbo Zhang. "A Novel Approach for Multi-Criteria Decision-Making Problem with Linguistic q-Rung Orthopair Fuzzy Attribute Weight Information." Symmetry 16, no. 12 (2024): 1641. https://doi.org/10.3390/sym16121641.

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Linguistic q-Rung orthopair fuzzy set is a new extension of the linguistic Pythagorean fuzzy set, which effectively represents the fuzzy and uncertain decision-making information based on qualitative modeling. However, its operational rules are unable to process pure linguistic exponential calculations, in which the exponents are represented using linguistic q-Rung orthopair fuzzy values and the bases are represented as linguistic terms or interval linguistic numbers. This greatly restricts its application in decision making under complex environments. As the complement of the existing linguis

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SUGENO, MICHIO, and GYEI-KARK PARK. "AN APPROACH TO LINGUISTIC INSTRUCTION BASED LEARNING." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 01, no. 01 (1993): 19–56. http://dx.doi.org/10.1142/s0218488593000036.

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In this paper, we notice the fact that a human learning process is characterized by a process under a natural language environment, and discuss an approach of learning based on indirect linguistic instructions. An instruction is interpreted through some meaning elements and each trend. Fuzzy evaluation rules are constructed for the searched meaning elements of the given instruction, and the performance of a system to be learned is improved by the evaluation rules. In this paper, we propose a framework of learning based on indirect linguistic instruction based learning using fuzzy theory: FULLI

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Yasmin, Sumaira, Muhammad Qiyas, Lazim Abdullah, and Muhammad Naeem. "Linguistics complex intuitionistic fuzzy aggregation operators and their applications to plastic waste management approach selection." AIMS Mathematics 9, no. 11 (2024): 30122–52. http://dx.doi.org/10.3934/math.20241455.

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<p>Linguistic complex intuitionistic fuzzy aggregation operators are a novel idea for the description of intuitionistic fuzzy information, where linguistic complex concepts are used to describe membership and non-membership. This can convey the hazy information more clearly, and some findings on linguistic complex intuitionistic fuzzy aggregation operators have been attained. Nonetheless, several linguistic complex intuitionistic fuzzy aggregation operators in the literature are founded on conventional operational principles, which have certain limitations when used to multi-attribute gr

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Liu, Xiaodi, Jianjun Zhu, Shitao Zhang, and Guodong Liu. "Multiple Attribute Group Decision-Making Methods Under Hesitant Fuzzy Linguistic Environment." Journal of Intelligent Systems 26, no. 2 (2017): 387–406. http://dx.doi.org/10.1515/jisys-2015-0159.

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AbstractThe aim of this paper is to develop some aggregation operators for multiple-attribute group decision making (MAGDM) with hesitant fuzzy linguistic information. First, the relationship between uncertain linguistic variable and hesitant fuzzy linguistic term set (HFLTS) is discussed. Some operations and aggregation operators for HFLTSs are developed. Second, based on the hesitant fuzzy linguistic weighted arithmetic averaging operator and the hesitant fuzzy linguistic hybrid averaging operator, an approach to MAGDM problem with hesitant fuzzy linguistic information is proposed. Finally,

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Nakamura, Kazuo. "Uncertainty of Linguistic Expressions and Fuzzy Approach." Japanese journal of ergonomics 28, Supplement (1992): 38–39. http://dx.doi.org/10.5100/jje.28.supplement_38.

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Modliński, Łukasz, and Grzegorz Popek. "Multiagent Approach to Fuzzy-Linguistic Knowledge Integration." Computational Methods in Science and Technology 24, no. 4 (2018): 317–36. http://dx.doi.org/10.12921/cmst.2018.0000047.

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Arfi, Badredine. "Fuzzy Decision Making in Politics: A Linguistic Fuzzy-Set Approach (LFSA)." Political Analysis 13, no. 1 (2005): 23–56. http://dx.doi.org/10.1093/pan/mpi002.

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In this article I use linguistic fuzzy-set theory to analyze the process of decision making in politics. I first introduce a number of relevant elements of (numerical and linguistic) fuzzy-set theory that are needed to understand the terminology as well as to grasp the scope and depth of the approach. I then explicate a linguistic fuzzy-set approach (LFSA) to the process of decision making under conditions in which the decision makers are required to simultaneously satisfy multiple criteria. The LFSA approach is illustrated through a running (hypothetical) example of a situation in which state

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Bidin, Mohd Syafiq, Abd Fatah Wahab, Mohammad Izat Emir Zulkifly, and Rozaimi Zakaria. "Generalized Fuzzy Linguistic Bicubic B-Spline Surface Model for Uncertain Fuzzy Linguistic Data." Symmetry 14, no. 11 (2022): 2267. http://dx.doi.org/10.3390/sym14112267.

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A fuzzy linguistic data set that is uncertain is difficult to analyze and describe in the form of a smooth and continuous generic figure. Therefore, the study aims to develop a new model of a B-spline surface using a different approach of a crisp and fuzzy linguistic point relation with three types of linguistic function: low L, medium Mi and high H. These linguistic functions are defined first to introduce the fuzzy linguistic point relation. Then, a new algorithm of the fuzzy linguistic bicubic B-spline surface model is presented to convert fuzzy linguistic data into fuzzy linguistic control

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Li, Zhi-Min, and Yi-Ding Zhao. "Model for Software Patterns Selection with Fuzzy Linguistic Information." Journal of Computational and Theoretical Nanoscience 13, no. 10 (2016): 7533–37. http://dx.doi.org/10.1166/jctn.2016.5749.

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With respect to multiple attribute group decision making problem with triangular fuzzy linguistic information, in which the attribute weights and expert weights take the form of real numbers, and the preference values take the form of triangular fuzzy linguistic variables, some operators for aggregating triangular fuzzy linguistic variables, such as the fuzzy linguistic harmonic mean (FLHM) operator, fuzzy linguistic weighted harmonic mean (FLWHM) operator, fuzzy linguistic ordered weighted harmonic mean (FLOWHM) operator, and fuzzy linguistic hybrid harmonic mean (FLHHM) operator are proposed

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Pang, Kuo, Chao Fu, Li Zou, Gaoxuan Wang, and Mingyu Lu. "Interval Linguistic-Valued Intuitionistic Fuzzy Concept Lattice and Its Application to Linguistic Association Rule Extraction." Axioms 13, no. 12 (2024): 812. http://dx.doi.org/10.3390/axioms13120812.

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In a world rich with linguistic-valued data, traditional methods often lead to significant information loss when converting such data into other formats. This paper presents a novel approach for constructing an interval linguistic-valued intuitionistic fuzzy concept lattice, which adeptly manages qualitative linguistic information by leveraging the strengths of interval-valued intuitionistic fuzzy sets to represent both fuzziness and uncertainty. First, the interval linguistic-valued intuitionistic fuzzy concept lattice is constructed by integrating interval intuitionistic fuzzy sets, capturin

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Mantelas, Lefteris, Poulicos Prastacos, Thomas Hatzichristos, and Kostis Koutsopoulos. "A Linguistic Approach to Model Urban Growth." International Journal of Agricultural and Environmental Information Systems 3, no. 2 (2012): 35–53. http://dx.doi.org/10.4018/jaeis.2012070103.

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This paper presents a linguistic approach for modeling urban growth. The authors developed a methodological framework which utilizes Fuzzy Set theory to capture and describe the effect of urban features on urban growth and applies Cellular Automata techniques to simulate urban growth. Although several approaches exist that combine Fuzzy Logic and Cellular Automata for urban growth modeling, the authors focused on the ability to use partial knowledge and combine theory-driven and data driven knowledge. To achieve this, a parallel connection between the input variables is introduced which furthe

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Leonishiya, A., and P. John Robinson. "Novel Linguistic Intuitionistic Fuzzy Score and Accuracy functions for Linguistic Intuitionistic Fuzzy TOPSIS Method." International Journal for Research in Applied Science and Engineering Technology 12, no. 8 (2024): 1308–17. http://dx.doi.org/10.22214/ijraset.2024.64114.

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Abstract: This work proposes various Linguistic Intuitionistic Fuzzy Score and Accuracy functions (LIF-Score and LIFAccuracy), including linguistic degree, membership, non-membership, and hesitancy degree, for Linguistic Intuitionistic Fuzzy Sets (LIFSs) in Multiple Attribute Group Decision Making (MAGDM) problems. The proposed functions are integrated into the Linguistic Intuitionistic Fuzzy-Technique of Order Preference by Similarity to Ideal Solution (LIF-TOPSIS) MAGDM approach to rank the alternatives, and a numerical example demonstrating their use in ranking alternatives is shown in the

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Verma, Rajkumar. "A Decision-Making Approach Based on New Aggregation Operators under Fermatean Fuzzy Linguistic Information Environment." Axioms 10, no. 2 (2021): 113. http://dx.doi.org/10.3390/axioms10020113.

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Fermatean fuzzy linguistic (FFL) set theory provides an efficient tool for modeling a higher level of uncertain and imprecise information, which cannot be represented using intuitionistic fuzzy linguistic (IFL)/Pythagorean fuzzy linguistic (PFL) sets. On the other hand, the linguistic scale function (LSF) is the better way to consider the semantics of the linguistic terms during the evaluation process. It is worth noting that the existing operational laws and aggregation operators (AOs) for Fermatean fuzzy linguistic numbers (FFLNs) are not valid in many situations, which can generate errors i

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Liu, Zhao, Li, Wang, and Wang. "A Novel Multi-Attribute Decision Making Method Based on The Double Hierarchy Hesitant Fuzzy Linguistic Generalized Power Aggregation Operator." Information 10, no. 11 (2019): 339. http://dx.doi.org/10.3390/info10110339.

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. A double hierarchy hesitant fuzzy linguistic term set (DHHFLT) is deemed as an effective and powerful linguistic expression which models complex linguistic decision information more accurately by using two different hierarchy linguistic term sets. The purpose of this paper is to propose a multi-attribute decision making method to tackle complex decision issues in which attribute values are represented as double hierarchy hesitant fuzzy linguistic numbers, and there are some extreme or unreasonable data in the attribute values. To do this, firstly, four double hierarchy hesitant fuzzy linguis

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Adeel, Arooj, Muhammad Akram, and Ali N. A. Koam. "Group Decision-Making Based on m-Polar Fuzzy Linguistic TOPSIS Method." Symmetry 11, no. 6 (2019): 735. http://dx.doi.org/10.3390/sym11060735.

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The fuzzy linguistic approach provides favorable outputs in several areas, whose description is relatively qualitative. The encouragement for the utilization of sentences or words instead of numbers is that linguistic characterizations or classifications are usually less absolute than algebraic or arithmetical ones. In this research article, we animate the m-polar fuzzy (mF) linguistic approach and elaborate it with real life examples and tabular representation to develop the affluence of linguistic variables based on mF approach. As an extension of the Technique for Order of Preference by Sim

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Abdullah, Saleem, Omar Barukab, Muhammad Qiyas, Muhammad Arif, and Sher Afzal Khan. "Analysis of Decision Support System Based on 2-Tuple Spherical Fuzzy Linguistic Aggregation Information." Applied Sciences 10, no. 1 (2019): 276. http://dx.doi.org/10.3390/app10010276.

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The aim of this paper is to propose the 2-tuple spherical fuzzy linguistic aggregation operators and a decision-making approach to deal with uncertainties in the form of 2-tuple spherical fuzzy linguistic sets. 2-tuple spherical fuzzy linguistic operators have more flexibility than general fuzzy set. We proposed a numbers of aggregation operators, namely 2-tuple spherical fuzzy linguistic weighted average, 2-tuple spherical fuzzy linguistic ordered weighted average, 2-tuple spherical fuzzy linguistic hybrid average, 2-tuple spherical fuzzy linguistic weighted geometric, 2-tuple spherical fuzzy

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Rong, Yuan, Zheng Pei, and Yi Liu. "Hesitant Fuzzy Linguistic Hamy Mean Aggregation Operators and Their Application to Linguistic Multiple Attribute Decision-Making." Mathematical Problems in Engineering 2020 (February 19, 2020): 1–22. http://dx.doi.org/10.1155/2020/3262618.

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Linguistic aggregation operator is a paramount appliance to fix linguistic multiple attribute decision-making (MADM) issues. In the article, the Hamy mean (HM) operator is utilized to fuse hesitant fuzzy linguistic (HFL) information and several novel HFL aggregation operators including the hesitant fuzzy linguistic Hamy mean (HFLHM) operator, weighted hesitant fuzzy linguistic Hamy mean (WHFLHM) operator, hesitant fuzzy linguistic dual Hamy mean (HFLDHM) operator, and weighted hesitant fuzzy linguistic dual Hamy mean (WHFLDHM) operator are proposed. Besides, several paramount theorems and part

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Zhang, Jun Ling, and Xiao Wen Qi. "Research on Multiple Attribute Decision Making under Hesitant Fuzzy Linguistic Environment with Application to Production Strategy Decision Making." Advanced Materials Research 753-755 (August 2013): 2829–36. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.2829.

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This paper investigates methods for multiple attribute decision making (MADM) under hesitant fuzzy linguistic environment. Firstly, we define two transform functions between hesitant fuzzy linguistic variables and hesitant fuzzy variables. Then, based on the presented transform functions, a hesitant fuzzy linguistic weighted averaging (HFLWA) operator and a hesitant fuzzy linguistic weighted geometric (HFLWG) operator are developed, and some desired properties of the operators are also analyzed. Successively, an integrated approach for MADM with attribute assessments taking form of hesitant fu

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Wang, Jun, Runtong Zhang, Xiaomin Zhu, Yuping Xing, and Borut Buchmeister. "Some Hesitant Fuzzy Linguistic Muirhead Means with Their Application to Multiattribute Group Decision-Making." Complexity 2018 (June 26, 2018): 1–16. http://dx.doi.org/10.1155/2018/5087851.

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The proposed hesitant fuzzy linguistic set (HFLS) is a powerful tool for expressing fuzziness and uncertainty in multiattribute group decision-making (MAGDM). This paper aims to propose novel aggregation operators to fuse hesitant fuzzy linguistic information. First, we briefly recall the notion of HFLS and propose new operations for hesitant fuzzy linguistic elements (HFLEs). Second, considering the Muirhead mean (MM) is a useful aggregation technology that can consider the interrelationship among all aggregated arguments, we extend it to hesitant fuzzy linguistic environment and propose new

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Wang, Wen-Pai. "A fuzzy linguistic computing approach to supplier evaluation." Applied Mathematical Modelling 34, no. 10 (2010): 3130–41. http://dx.doi.org/10.1016/j.apm.2010.02.002.

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Jin, Feifei, Lidan Pei, Huayou Chen, Reza Langari, and Jinpei Liu. "A Novel Decision-Making Model with Pythagorean Fuzzy Linguistic Information Measures and Its Application to a Sustainable Blockchain Product Assessment Problem." Sustainability 11, no. 20 (2019): 5630. http://dx.doi.org/10.3390/su11205630.

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This study presents a novel multi-attribute decision-making (MADM) model on the basis of Pythagorean fuzzy linguistic information measures. To do so, we first present a new concept of Pythagorean fuzzy linguistic sets to describe fuzziness and inconsistent information, in which the Pythagorean fuzzy linguistic values (PFLVs) are represented by the linguistic membership degree and linguistic non-membership degree. Then, we introduce two axiomatic definitions of information measures for PFLVs, including Pythagorean fuzzy linguistic entropy and the Pythagorean fuzzy linguistic similarity measure,

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Ju, Yanbing, Shanghong Yang, and Xiaoyue Liu. "A Novel Method for Multiattribute Decision Making with Dual Hesitant Fuzzy Triangular Linguistic Information." Journal of Applied Mathematics 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/909823.

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This paper studies the multiattribute decision making (MADM) problems in which the attribute values take the form of dual hesitant fuzzy triangular linguistic elements and the weights of attributes take the form of real numbers. Firstly, to solve the situation where the membership degree and the nonmembership degree of an element to a triangular linguistic variable, the concept, operational laws, score function, and accuracy function of dual hesitant fuzzy triangular linguistic elements (DHFTLEs) are defined. Then, some dual hesitant fuzzy triangular linguistic geometric aggregation operators

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Phong, Phạm Đình, Nguyen Duc Du, Nguyen Thanh Thuy, and Hoang Van Thong. "A HEDGE ALGEBRAS BASED CLASSIFICATION REASONING METHOD WITH MULTI-GRANULARITY FUZZY PARTITIONING." Journal of Computer Science and Cybernetics 35, no. 4 (2019): 319–36. http://dx.doi.org/10.15625/1813-9663/35/4/14348.

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During last years, lots of the fuzzy rule based classifier (FRBC) design methods have been proposed to improve the classification accuracy and the interpretability of the proposed classification models. Most of them are based on the fuzzy set theory approach in such a way that the fuzzy classification rules are generated from the grid partitions combined with the pre-designed fuzzy partitions using fuzzy sets. Some mechanisms are studied to automatically generate fuzzy partitions from data such as discretization, granular computing, etc. Even those, linguistic terms are intuitively assigned to

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Jin, Feifei, Danning Li, Shuyan Guo, Ligang Zhou, Yi Chen, and Jiaming Zhu. "Exponential information measures-driven Pythagorean fuzzy MADM method and its application to new energy battery supplier evaluation problem." Journal of Intelligent & Fuzzy Systems 44, no. 6 (2023): 9167–82. http://dx.doi.org/10.3233/jifs-223088.

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Under the Pythagorean fuzzy environment, this paper presents a multi-attribute decision-making (MADM) model based on exponential entropy measure and exponential similarity measure to evaluate new energy battery supplier’s performance. In this method, the notion of Pythagorean fuzzy linguistic sets (PFLSs) is first introduced by combining the linguistic fuzzy sets (LFSs) and the Pythagorean fuzzy sets (PFSs). Then, the axiomatic definitions of Pythagorean fuzzy entropy and Pythagorean fuzzy similarity measure are developed to measure the degree of uncertainty and similarity between two Pythagor

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Jin, Min, and Ming-Jing Liao. "Approaches to Multiple Attribute Decision Making Based on the Hesitant Fuzzy Uncertain Linguistic Power Aggregation Operators and Their Applications to Service Quality Evaluation in Higher Education." Journal of Computational and Theoretical Nanoscience 13, no. 10 (2016): 7171–75. http://dx.doi.org/10.1166/jctn.2016.5686.

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In this paper, we investigate the multiple attribute decision making problems based on the power aggregation operators with hesitant fuzzy uncertain linguistic information. Then, we have developed some power aggregation operators for aggregating hesitant fuzzy uncertain linguistic information: hesitant fuzzy uncertain linguistic power weighted average (HFULPWA) operator and hesitant fuzzy uncertain linguistic power weighted geometric (HFULPWG) operator. Then, we have utilized these operators to develop some approaches to solve the hesitant fuzzy uncertain linguistic multiple attribute decision

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Lin, Jian, Riqing Chen, and Qiang Zhang. "Similarity-Based Approach for Group Decision Making with Multi-Granularity Linguistic Information." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 24, no. 06 (2016): 873–900. http://dx.doi.org/10.1142/s0218488516500409.

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The aim of this article is to investigate the approach for multi-attribute group decision-making, in which the attribute values take the form of multi-granularity multiplicative linguistic information. Firstly, to process multiple sources of decision information assessed in different multiplicative linguistic label sets, a method for transforming multi-granularity multiplicative linguistic information into multiplicative trapezoidal fuzzy numbers is proposed. Then, a formula for ranking multiplicative trapezoidal fuzzy numbers is given based on geometric mean. Furthermore, the concept of simil

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Liu, Peide, and Xi Liu. "Multiattribute Group Decision Making Methods Based on Linguistic Intuitionistic Fuzzy Power Bonferroni Mean Operators." Complexity 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/3571459.

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This paper focuses on the multiattribute group decision making problems with linguistic intuitionistic fuzzy information. Firstly the concept of linguistic intuitionistic fuzzy numbers (LIFNs) is introduced, and then based on the LIFNs, some new aggregation operators based on Bonferroni mean and power operator are proposed, such as linguistic intuitionistic fuzzy power Bonferroni mean (LIFPBM) operator, linguistic intuitionistic fuzzy weighted power Bonferroni mean (LIFWPBM) operator, linguistic intuitionistic fuzzy geometric power Bonferroni mean (LIFGPBM) operator, and linguistic intuitionis

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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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Liu, Xin, Xiaoying Song, Wei Gao, Li Zou, and Álvaro Labella Romero. "A Decision Making Approach Based on Hesitant Fuzzy Linguistic-Valued Credibility Reasoning." JUCS - Journal of Universal Computer Science 27, no. 1 (2021): 40–64. http://dx.doi.org/10.3897/jucs.64595.

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Credibility reasoning has attracted a lot of attention due to its distinguished power and efficiency in representing uncertainty and vagueness within the process of reasoning and decision making. Aiming at the problem of inaccurate credibility estimation in uncertainty reasoning and making experts to express hesitant preferences better in evaluation reasoning process, this paper introduces hesitant fuzzy linguistic term set into credibility uncertainty reasoning. First, we propose hesitant fuzzy linguistic-valued credibility (HLCF), and establish the knowledge representation model of the hesit

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Liu, Xin, Xiaoying Song, Wei Gao, Li Zou, and Álvaro Labella Romero. "A Decision Making Approach Based on Hesitant Fuzzy Linguistic-Valued Credibility Reasoning." JUCS - Journal of Universal Computer Science 27, no. (1) (2021): 40–64. https://doi.org/10.3897/jucs.64595.

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Credibility reasoning has attracted a lot of attention due to its distinguished power and efficiency in representing uncertainty and vagueness within the process of reasoning and decision making. Aiming at the problem of inaccurate credibility estimation in uncertainty reasoning and making experts to express hesitant preferences better in evaluation reasoning process, this paper introduces hesitant fuzzy linguistic term set into credibility uncertainty reasoning. First, we propose hesitant fuzzy linguistic-valued credibility (HLCF), and establish the knowledge representation model of the hesit

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Torrens-Urrutia, Adrià, Vilém Novák, and María Dolores Jiménez-López. "Describing Linguistic Vagueness of Evaluative Expressions Using Fuzzy Natural Logic and Linguistic Constraints." Mathematics 10, no. 15 (2022): 2760. http://dx.doi.org/10.3390/math10152760.

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In recent years, the study of evaluative linguistic expressions has crossed the field of theoretical linguistics and has aroused interest in very different research areas such as artificial intelligence, psychology or cognitive linguistics. The interest in this type of expressions may be due to its relevance in applications such as opinion mining or sentiment analysis. This paper brings together Fuzzy Natural Logic and Fuzzy Property Grammars to approach evaluative expressions. Our contribution includes the marriage of mathematical and linguistic methods for providing a formalism to deal with

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Qiyas, Muhammad, Saleem Abdullah, Shahzaib Ashraf, and Lazim Abdullah. "Linguistic Picture Fuzzy Dombi Aggregation Operators and Their Application in Multiple Attribute Group Decision Making Problem." Mathematics 7, no. 8 (2019): 764. http://dx.doi.org/10.3390/math7080764.

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The aims of this study are to propose the linguistic picture fuzzy Dombi (LPFD) aggregation operators and decision-making approach to deal with uncertainties in the form of linguistic picture fuzzy sets. LPFD operators have more flexibility due to the general fuzzy set. Utilizing the Dombi operational rule, the series of Dombi aggregation operators were proposed, namely linguistic picture fuzzy Dombi arithmetic/geometric, ordered arithmetic/ordered geometric and Hybrid arithmetic/Hybrid geometric aggregation operators. The distinguished feature of these proposed operators is studied. At that p

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Zhou, Hao, Tao Tao, and Sheng Wang. "Models for Multiple Attribute Group Decision Making Based on the Induced Fuzzy Linguistic Ordered Weighted Harmonic Mean Operator and Their Applications." Journal of Computational and Theoretical Nanoscience 13, no. 10 (2016): 7329–32. http://dx.doi.org/10.1166/jctn.2016.5720.

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In this paper, we investigate the multiple attribute group decision making problem with triangular fuzzy linguistic information. We proposed the induced fuzzy linguistic ordered weighted harmonic mean (IFLOWHM) operator. A practical method based on the FLWHM and IFLOWHM operators is developed for multiple attribute group decision making with triangular fuzzy linguistic variables. Finally, an illustrative example for security evaluation of wireless sensor network is given to verify the developed approach.

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CABRERIZO, F. J., S. ALONSO, and E. HERRERA-VIEDMA. "A CONSENSUS MODEL FOR GROUP DECISION MAKING PROBLEMS WITH UNBALANCED FUZZY LINGUISTIC INFORMATION." International Journal of Information Technology & Decision Making 08, no. 01 (2009): 109–31. http://dx.doi.org/10.1142/s0219622009003296.

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Most group decision making (GDM) problems based on linguistic approaches use symmetrically and uniformly distributed linguistic term sets to express experts' opinions. However, there exist problems whose assessments need to be represented by means of unbalanced linguistic term sets, i.e. using term sets that are not uniformly and symmetrically distributed. The aim of this paper is to present a consensus model for GDM problems with unbalanced fuzzy linguistic information. This consensus model is based on both a fuzzy linguistic methodology to deal with unbalanced linguistic term sets and two co

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Peikert, Tim, Heyno Garbe, and Stefan Potthast. "Risk analysis with a fuzzy-logic approach of a complex installation." Advances in Radio Science 14 (September 28, 2016): 91–96. http://dx.doi.org/10.5194/ars-14-91-2016.

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Abstract. This paper introduces a procedural method based on fuzzy logic to analyze systematic the risk of an electronic system in an intentional electromagnetic environment (IEME). The method analyzes the susceptibility of a complex electronic installation with respect to intentional electromagnetic interference (IEMI). It combines the advantages of well-known techniques as fault tree analysis (FTA), electromagnetic topology (EMT) and Bayesian networks (BN) and extends the techniques with an approach to handle uncertainty. This approach uses fuzzy sets, membership functions and fuzzy logic to

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Alieva, E., and Z. Maharramov. "FUZZY MULTIPLE APPROACH TO ANALYZING QoS INDICATORS OF MULTI-SERVICE NETWORKS." Sciences of Europe, no. 117 (May 23, 2023): 92–97. https://doi.org/10.5281/zenodo.7961136.

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To study the QoS quality of service parameters, the Saaty hierarchy analysis method was applied and, on its basis, the membership function was determined. A system of linguistic rules has been compiled for fuzzy analysis. The fuzzy-set approach is implemented by the Mamdani fuzzy model in the Matlab package.

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ECER, Billur. "Hesitant Fuzzy Linguistic Decision Making Approach for Stroller Selection." Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 10, no. 4 (2021): 1464–73. http://dx.doi.org/10.17798/bitlisfen.960814.

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Kang, Ziho, and Steven J. Landry. "Top-Down Approach for a Linguistic Fuzzy Logic Model." Cybernetics and Systems 45, no. 1 (2014): 39–55. http://dx.doi.org/10.1080/01969722.2014.862118.

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JU, GANG, and LAIJIU CHEN. "AN APPROACH TO THE LINGUISTIC SYNTHESIS OF FUZZY CONTROLLERS." Cybernetics and Systems 26, no. 4 (1995): 427–41. http://dx.doi.org/10.1080/01969729508927506.

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Chih-Hsun Chou. "Model reference adaptive fuzzy control: A linguistic space approach." Fuzzy Sets and Systems 96, no. 1 (1998): 1–20. http://dx.doi.org/10.1016/s0165-0114(96)00283-7.

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Zhang, Yunxia, Degen Huang, Hongmei Lin, and Li Zou. "Knowledge reasoning approach with linguistic-valued intuitionistic fuzzy credibility." International Journal of Machine Learning and Cybernetics 11, no. 1 (2019): 169–84. http://dx.doi.org/10.1007/s13042-019-00965-y.

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Lin, Ching-Torng, and Ying-Te Chen. "Bid/no-bid decision-making – a fuzzy linguistic approach." International Journal of Project Management 22, no. 7 (2004): 585–93. http://dx.doi.org/10.1016/j.ijproman.2004.01.005.

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Shi, Fu Qian, Jian Feng Wu, Xiao Dong He, Hai Ning Wang, and Shou Qian Sun. "Evaluation on Product Form Image Using Linguistic Variables Based Fuzzy Analytic Hierarchy Process." Advanced Materials Research 102-104 (March 2010): 905–9. http://dx.doi.org/10.4028/www.scientific.net/amr.102-104.905.

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Due to the uncertainness and fuzziness of image evaluation on product form, many fuzzy multi-criteria decision making approaches are applied in this fields. Fuzzy linguistic is usually used by expert to evaluate the importance of the criteria and to rate the alternatives; hence, we integrating fuzzy linguistic based analytic hierarchy process methodology to image evaluation of product form. Trapezoidal fuzzy number and 11-scale linguistic variables were applied in this model. The proposed approach started by a web-based image evaluation system, and then target products were extracted and divid

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Meng, Fanyong, and Xiaohong Chen. "An Approach to Uncertain Linguistic Multi-Attribute Group Decision Making Based on Interactive Index." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 23, no. 03 (2015): 319–44. http://dx.doi.org/10.1142/s0218488515500130.

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In this paper, two uncertain linguistic Choquet aggregation operators called the induced uncertain linguistic hybrid generalized Shapley Choquet weighted averaging (IULHGSCWA) operator and the induced uncertain linguistic hybrid generalized Shapley Choquet geometric mean (IULHGSCGM) operator are defined. To reduce the complexity of solving a fuzzy measure, the induced uncertain linguistic hybrid 2-additive generalized Shapley Choquet weighted averaging (IULHAGSCWA) operator and the induced uncertain linguistic hybrid 2-additive generalized Shapley Choquet geometric mean (IULHAGSCGM) operator a

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Tadic, Danijela. "Fuzzy multi-criteria approach to ordering policy ranking in a supply chain." Yugoslav Journal of Operations Research 15, no. 2 (2005): 243–58. http://dx.doi.org/10.2298/yjor0502243t.

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In this paper, a new fuzzy multi-criteria mathematical model for the selection of the best among a finite number of ordering policy of raw material in a supply chain is developed. The problem treated is a part of the purchasing plan of a company in an uncertain environment and it is very common in business practice. Optimization criteria selected describe the performance measures of ordering policies and generally their relative importance is different. It is assumed that the values of the optimization criteria are vague and imprecise. They are described by discrete fuzzy numbers and by lingui

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NGUYEN, CAT HO, DINH KHANG TRAN, HUYNH VAN NAM, and HAI CHAU NGUYEN. "HEDGE ALGEBRAS, LINGUISTIC-VALUE LOGIC AND THEIR APPLICATION TO FUZZY REASONING." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 07, no. 04 (1999): 347–61. http://dx.doi.org/10.1142/s0218488599000301.

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People use natural languages to think, to reason, to deduce conclusions, and to make decisions. Fuzzy set theory introduced by L. A. Zadeh has been intensively developed and founded a computational foundation for modeling human reasoning processs. The contribution of this theory both in the theoretical and the applied aspects is well recognized. However, the traditional fuzzy set theory cannot handle linguistic terms directly. In our approach, we have constructed algebraic structures to model linguistic domains, and developed a method of linguistic reasoning, which directly manipulates linguis

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Romo-Lozano, José L., Rosa M. Rodríguez, Roberto Rendón-Medel, and Álvaro Labella. "Application of a multigranular approach based on the 2-tuple fuzzy linguistic model for the evaluation of forestry policy indicators." Revista Chapingo Serie Ciencias Forestales y del Ambiente 27, no. 2 (2020): 257–75. http://dx.doi.org/10.5154/r.rchscfa.2020.06.043.

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Introduction: The need for quality indicators is well recognized by users and proponents of public policy evaluation. Indicators recurrently include qualitative attributes for which there are few studies assessing the level of compliance. Objective: To apply a multigranular approach, based on the 2-tuple fuzzy linguistic model, to evaluate 13 indicators of the National Forestry Program, established in the system of social policy indicators derived from the National Development Plan 2012-2018 of Mexico. Materials and methods: The method uses the 2-tuple fuzzy linguistic representation model and

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