Academic literature on the topic 'Consistency in fuzzy decision problems'

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Journal articles on the topic "Consistency in fuzzy decision problems"

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Aly, S., and I. Vrana. "Multiple parallel fuzzy expert systems utilizing a hierarchical fuzz model." Agricultural Economics (Zemědělská ekonomika) 53, No. 2 (2008): 89–93. http://dx.doi.org/10.17221/1425-agricecon.

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Business, economic, and agricultural YES-or-NO decision making problems often require multiple, different and specific expertises. This is due to the nature of such problems in which decisions may be influenced by multiple different, relevant aspects, and accordingly multiple corresponding expertises are required. Fuzzy expert systems (FESs) are widely used to model expertises due to its capability to model real world values, which are not always exact, but frequently vague or uncertain. In this research, different expertises, relevant to the decision solution, are modeled using several corres
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Jin, Feifei, Chang Li, Jinpei Liu, and Ligang Zhou. "Distribution Linguistic Fuzzy Group Decision Making Based on Consistency and Consensus Analysis." Mathematics 9, no. 19 (2021): 2457. http://dx.doi.org/10.3390/math9192457.

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The development of distribution linguistic provides a new research idea for linguistic information group decision-making (GDM) problems, which is more flexible and convenient for experts to express their opinions. However, in the process of using distribution linguistic fuzzy preference relations (DLFPRs) to solve linguistic information GDM problems, there are few studies that pay attention to both internal consistency adjustment and external consensus of experts. Therefore, this study proposes a fresh decision support model based on consistency adjustment algorithm and consensus adjustment al
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Lan, Jibin, Mian Yang, Mingming Hu, and Fang Liu. "MULTI-ATTRIBUTE GROUP DECISION MAKING BASED ON HESITANT FUZZY SETS, TOPSIS METHOD AND FUZZY PREFERENCE RELATIONS." Technological and Economic Development of Economy 24, no. 6 (2018): 2295–317. http://dx.doi.org/10.3846/tede.2018.6768.

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Hesitant fuzzy sets (HFSs) are widely applied in pattern recognition, classification, clustering, and multiple attribute decision making. In order to get more accurate decision results, the order relation of HFSs is particularly important. In this paper, some defects of the existing order relations for HFSs are discussed. In order to solve these problems, by employing a distance measure and the TOPSIS method, we propose a new order relation extraction method based on a new additive consistency fuzzy preference relation for hesitant fuzzy elements (HFEs). Then, the proposed additive consistency
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LI, DENG-FENG, and TAO SUN. "FUZZY LINEAR PROGRAMMING APPROACH TO MULTI-ATTRIBUTE DECISION-MAKING WITH LINGUISTIC VARIABLES AND INCOMPLETE INFORMATION." Advances in Complex Systems 10, no. 04 (2007): 505–25. http://dx.doi.org/10.1142/s0219525907001306.

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The aim of this paper is to develop a new fuzzy linear programming technique for solving multi-attribute decision-making (MADM) problems with incomplete weight preference information under fuzzy environments. In this methodology, linguistic variables are used to capture fuzziness in decision information and decision-making processes by means of a fuzzy decision matrix. Consistency and inconsistency indices are defined on the basis of preference relations between alternatives given by the decision maker under uncertain environments. Each alternative is assessed on the basis of its distance to a
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Touqeer, Muhammad, and Syeda Sadia Gilani. "Decision making framework for viral disease management using Intuitionistic fuzzy trapezoidal preference relations with multiplicative consistency." Neutrosophic Knowledge 6 (January 14, 2025): 21–41. https://doi.org/10.5281/zenodo.14659978.

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Abstract. A decision necessarily implies risk and vague contexts within which choices are made and managerial and analytical decisions must be exact. This paper developed an intuitionistic fuzzy trapezoidal preference relation (IFTrPR) based integrated decision-making model through concept of multiplicative consistency of IFTP. The framework aims to identify Intuitionistic Fuzzy Trapezoidal Priority Weight Vectors and rank the options employing a technique of order preference by the similarity to ideal solution. To improve the impact weights consistency, a Linear Decision Model (LDM) is used,
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Zhao, Meng, Ting Liu, Jia Su, and Meng-Ying Liu. "A Method Adjusting Consistency and Consensus for Group Decision-Making Problems with Hesitant Fuzzy Linguistic Preference Relations Based on Discrete Fuzzy Numbers." Complexity 2018 (July 12, 2018): 1–17. http://dx.doi.org/10.1155/2018/9345609.

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In each hesitant fuzzy linguistic preference relation, experts may express their opinions through comparison linguistic information combined with a discrete fuzzy number. In this paper, a hesitant fuzzy linguistic computational model based on discrete fuzzy numbers whose support is a subset of consecutive natural numbers is proposed, which enriches the flexibility of group decision-making. First, some main concepts related to discrete fuzzy numbers and an aggregation function of individual subjective linguistic preference relations are introduced. Then, a consistency measure is presented to ch
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Gong, Kaixin, and Chunfang Chen. "A Programming-Based Algorithm for Probabilistic Uncertain Linguistic Intuitionistic Fuzzy Group Decision-Making." Symmetry 11, no. 2 (2019): 234. http://dx.doi.org/10.3390/sym11020234.

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As an effective tool to express the subjective preferences of decision makers, the linguistic term sets (LTS) have been widely used in group decision-making (GDM) problems, such as hesitant fuzzy LTS, linguistic hesitant fuzzy sets, probabilistic LTS, etc. However, due to the increasing complexity of practical decision-making (DM) problems, LTS still has a lot of room to expand in fuzzy theory. Qualitative uncertainty information in the application of GDM is yet to be improved. Therefore, in order to improve the applicability of linguistic terms in DM problems, a probabilistic uncertain lingui
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Yang, Taho, Yiyo Kuo, David Parker, and Kuan Hung Chen. "A Multiple Attribute Group Decision Making Approach for Solving Problems with the Assessment of Preference Relations." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/849897.

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A number of theoretical approaches to preference relations are used for multiple attribute decision making (MADM) problems, and fuzzy preference relations is one of them. When more than one person is interested in the same MADM problem, it then becomes a multiple attribute group decision making (MAGDM) problem. For both MADM and MAGDM problems, consistency among the preference relations is very important to the result of the final decision. The research reported in this paper is based on a procedure that uses a fuzzy preference relations matrix which satisfies additive consistency. This matrix
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Zhuang, Hua, Yanzhao Tang, and Meijuan Li. "An Algorithm for Interval-Valued Intuitionistic Fuzzy Preference Relations in Group Decision Making Based on Acceptability Measurement and Priority Weight Determination." Algorithms 11, no. 11 (2018): 182. http://dx.doi.org/10.3390/a11110182.

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Group decision making with intuitionistic fuzzy preference information contains two key issues: acceptability measurement and priority weight determination. In this paper, we investigate the above two issues with respect to multiplicative interval-valued intuitionistic fuzzy preference relation (IVIFPR). Firstly, a consistency index is defined to measure the multiplicative consistency degree of IVIFPR and an optimization model is established to improve the consistency degree of IVIFPR to an acceptable one. Next, in terms of priority weight determination, an error-analysis-based extension metho
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Nihad Mehdiyev, Nihad Mehdiyev. "APPLICATION OF FUZZY SIMPLE ADDITIVE WEIGHTING SYSTEM FOR ERP SOFTWARE SELECTION." PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions 145, no. 05 (2023): 41–47. http://dx.doi.org/10.36962/pahtei145052023-41.

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The class of ERP systems includes integrated automation tools that provide integration of automation of enterprise resource management in a single corporate information system. The choice of an enterprise automation system is very difficult due to the influence of many factors. Multi-criteria decision making is a powerful tool that is widely used to solve problems involving multiple conflicting attributes. Among different methods of multi-criteria decision making, the fuzzy SAW is very suitable for estimating alternatives when qualitative and quantitative advertence are expressed only with lin
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Dissertations / Theses on the topic "Consistency in fuzzy decision problems"

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Ribeiro, Maria Rita Sarmento de Almeida. "Application of support logic theory to fuzzy multiple attribute decision problems." Thesis, University of Bristol, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.357891.

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Fowdar, Navindra Jay. "Inducing fuzzy decision trees to solve classification and regression problems in non-deterministic domains." Thesis, Manchester Metropolitan University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.426942.

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Most decision tree induction methods used for extracting knowledge in classification problems are unable to deal with uncertainties embedded within the data, associated with human thinking and perception. This thesis describes the development of a novel tree induction algorithm which improves the classification accuracy of decision trees in non-deterministic domains. A novel algorithm, Fuzzy CIA, is presented which applies the principles of fuzzy theory to decision tree algorithms in order to soften the sharp decision boundaries which are inherent in these induction techniques. Fuzzy CIA extra
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Tahvili, Sahar. "Solving complex maintenance planning optimization problems using stochastic simulation and multi-criteria fuzzy decision making." Thesis, SICS, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-24416.

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Allard, David M. "A Multi-Objective Genetic Algorithm to Solve Single Machine Scheduling Problems Using a Fuzzy Fitness Function." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1180968613.

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Lopes, Mariana Vieira Ribeiro. "Tratamento de imprecisão na geração de árvores de decisão." Universidade Federal de São Carlos, 2016. https://repositorio.ufscar.br/handle/ufscar/8954.

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Submitted by Ronildo Prado (ronisp@ufscar.br) on 2017-08-08T20:30:11Z No. of bitstreams: 1 DissMVRL.pdf: 2179441 bytes, checksum: 3c4089c4b24a3d98521f8561c6f2c515 (MD5)<br>Approved for entry into archive by Ronildo Prado (ronisp@ufscar.br) on 2017-08-08T20:30:33Z (GMT) No. of bitstreams: 1 DissMVRL.pdf: 2179441 bytes, checksum: 3c4089c4b24a3d98521f8561c6f2c515 (MD5)<br>Approved for entry into archive by Ronildo Prado (ronisp@ufscar.br) on 2017-08-08T20:30:39Z (GMT) No. of bitstreams: 1 DissMVRL.pdf: 2179441 bytes, checksum: 3c4089c4b24a3d98521f8561c6f2c515 (MD5)<br>Made available in DSpace
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Igoulalene, Idris. "Développement d'une approche floue multicritère d'aide à la coordination des décideurs pour la résolution des problèmes de sélection dans les chaines logistiques." Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM4357/document.

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Dans le cadre de cette thèse, notre objectif est de développer une approche multicritère d'aide à la coordination des décideurs pour la résolution des problèmes de sélection dans les chaines logistiques. En effet, nous considérons le cas où nous avons k décideurs/experts notés ST1,...,STk qui cherchent à classer un ensemble de m alternatives/choix notées A1,...,Am évaluées en termes de n critères conflictuels notés C1,..., Cn. L'ensemble des données manipulées est flou. Chaque décideur est amené à exprimer ses préférences pour chaque alternative par rapport à chaque critère à travers une matri
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Lin, Tsung-en, and 林琮恩. "New Group Decision Making Methods Based on Fuzzy Preference Relations and Consistency Matrices." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/37132638425036614088.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>101<br>Group decision making is an important research topic. In recent years, some group decision making methods based on fuzzy preference relations have been presented. Because there may be situations where some values in preference relations may be unknown or incomplete, some methods have been presented to estimate the unknown or incomplete values in incomplete fuzzy preference relations. In recent years, some group decision making methods based on incomplete fuzzy preference relations have been presented. In this thesis, we present two new methods for group decisi
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Chen, Chien-Ming, and 陳建銘. "A fuzzy-based decision support model to vendor selection problems." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/79325223781820670564.

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碩士<br>國立中央大學<br>工業管理研究所<br>92<br>Vendor selection problems have long been a critical issue in achieving a successful supply chain management. Numerous methodologies have been proposed for efficient evaluation and selection of vendors. However, these methodologies fail to treat performances as a time-varying process. Moreover, the fuzziness of decision-making has not been considered in a comprehensive way. As such, the solutions provided likely are unreliable, and the possibilities for decision makers to learn over time will be eliminated. This article presents a fuzzy-based decision support mo
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Hsin-HungChen and 陳信宏. "Fuzzy goal programming approaches for solving hierarchical decision-making problems." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/15814219834242891153.

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博士<br>國立成功大學<br>工業與資訊管理學系<br>103<br>This dissertation studies hierarchical optimization problems in a fuzzy environment. For two main decision structures of (decentralized) multi-level systems, we investigate decentralized bi-level multi-objective linear programming (DBL-MOLP) and multi-level linear programming (MLLP) problems with imprecise goals, and develop proper solution approaches based on fuzzy goal programming (FGP). For DBL-MOLP problems with multiple followers at the second level, decision decentralization is considered, and allowed to be adjusted depending upon the higher-level deci
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Yu-TingLiu and 劉宇婷. "Aggregating Experts’ Fuzzy Opinions for Hierarchical Group Decision-Making Problems." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/28372033188847940723.

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碩士<br>國立成功大學<br>工業與資訊管理學系碩博士班<br>101<br>In the real world, decision makers are often faced with complicated decision problems where many attributes and alternatives are considered. An alternative with respect to an attribute can be assessed by crisp data, but decision making usually includes subjective opinions. Experts can use linguistic terms to express their real opinions, and these tend to be fuzzy rather than precise. As a result, various fuzzy multiple attribute decision making (FMADM) methods, which are suitable for group decision making (GDM) problems in a fuzzy environment, have been
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Books on the topic "Consistency in fuzzy decision problems"

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Sengupta, Atanu, and Tapan Kumar Pal. Fuzzy Preference Ordering of Interval Numbers in Decision Problems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89915-0.

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Janusz, Kacprzyk, Pal Tapan Kumar, and SpringerLink (Online service), eds. Fuzzy Preference Ordering of Interval Numbers in Decision Problems. Springer Berlin Heidelberg, 2009.

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Pal, Tapan Kumar, and Atanu Sengupta. Fuzzy Preference Ordering of Interval Numbers in Decision Problems. Springer Berlin / Heidelberg, 2010.

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Picture Fuzzy Logic and Its Applications in Decision Making Problems. Elsevier Science & Technology, 2023.

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Picture Fuzzy Logic and Its Applications in Decision Making Problems. Elsevier Science & Technology Books, 2023.

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Cobb, Maria A., Frederick E. Petry, and Vincent B. Robinson. Fuzzy Modeling with Spatial Information for Geographic Problems. Springer Berlin / Heidelberg, 2010.

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Cobb, Maria A., Frederick E. Petry, and Vincent B. Robinson. Fuzzy Modeling with Spatial Information for Geographic Problems. Springer London, Limited, 2006.

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Solving Complex Maintenance Planning Optimization Problems Using Stochastic Simulation and Multi-Criteria Fuzzy Decision Making. GRIN Verlag GmbH, 2014.

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Advanced Decision-Making Methods and Applications in System Safety and Reliability Problems: Approaches, Case Studies, Multi-Criteria Decision-making, Multi-objective Decision-making, Fuzzy Risk-based Models. Springer International Publishing AG, 2022.

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Advanced Decision-Making Methods and Applications in System Safety and Reliability Problems: Approaches, Case Studies, Multi-Criteria Decision-Making, Multi-objective Decision-Making, Fuzzy Risk-Based Models. Springer International Publishing AG, 2023.

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Book chapters on the topic "Consistency in fuzzy decision problems"

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Zahedi Khameneh, Azadeh, Adem Kilicman, and Fadzilah Md Ali. "Consistency of Aggregation Function-Based m-Polar Fuzzy Digraphs in Group Decision Making." In Soft Computing Approach for Mathematical Modeling of Engineering Problems. CRC Press, 2021. http://dx.doi.org/10.1201/9781003138341-5-5.

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Saito, Seiji, Hiroaki Ishii, and Minghao Chen. "Fuzzy Differentials and Deterministic Approaches to Fuzzy Optimization Problems." In Dynamical Aspects in Fuzzy Decision Making. Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-7908-1817-8_8.

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Ramík, Jaroslav. "Strict and Strong Consistency in Pairwise Comparisons Matrix with Fuzzy Elements." In Intelligent Decision Technologies 2017. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59421-7_27.

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Dubois, Didier, and Henri Prade. "Gradual Numbers and Fuzzy Solutions to Fuzzy Optimization Problems." In Soft Computing Based Optimization and Decision Models. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64286-4_13.

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Aguiar e Oliveira Junior, Hime. "Generalized Nash Equilibrium Problems and Fuzzy ASA." In Studies in Systems, Decision and Control. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26467-7_6.

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Fodor, János, and Marc Roubens. "Summary, perspectives and open problems." In Fuzzy Preference Modelling and Multicriteria Decision Support. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-1648-2_8.

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Pini, Maria Silvia, Francesca Rossi, and Kristen Brent Venable. "Compact Preference Representation via Fuzzy Constraints in Stable Matching Problems." In Algorithmic Decision Theory. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67504-6_23.

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Dong, Yucheng, and Yinfeng Xu. "Consistency Measures of Linguistic Preference Relations and Its Properties in Group Decision Making." In Fuzzy Systems and Knowledge Discovery. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11881599_58.

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Inuiguchi, Masahiro, and Tetsuzo Tanino. "Two-Stage Linear Recourse Problems under Non-Probabilistic Uncertainty." In Dynamical Aspects in Fuzzy Decision Making. Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-7908-1817-8_6.

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Ramík, Jaroslav. "Lp Problems with Inexact and Interactive Coefficients." In Fuzzy Approach to Reasoning and Decision-Making. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2753-0_10.

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Conference papers on the topic "Consistency in fuzzy decision problems"

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Yusupov, Firnafas XXX, Mukhiddin F. Ibragimov, and Saidbek P. Babayazov. "Prediction of Interactions Between Social Groups and Decision-Making Using Fuzzy Models." In 2024 IEEE 3rd International Conference on Problems of Informatics, Electronics and Radio Engineering (PIERE). IEEE, 2024. https://doi.org/10.1109/piere62470.2024.10804870.

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Dimitrov, V. P., L. V. Borisova, and I. N. Nurutdinova. "ANALYSIS OF FUZZY EXPERT INFORMATION ABOUT EXTERNAL FACTORS IN THE PROBLEM OF GRAIN HARVESTER TECHNOLOGICAL ADJUSTMENT." In INNOVATIVE TECHNOLOGIES IN SCIENCE AND EDUCATION. DSTU-Print, 2020. http://dx.doi.org/10.23947/itno.2020.366-370.

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The article deals with the analysis and presentation of fuzzy expert information about the external conditions in which the combine harvester operates. The subject area "Technological adjustment of the harvester" is investigated. Based on the information received from 4 experts, external factors essential for the cleaning process are identified, their linguistic description is given, linguistic variables are introduced, membership functions are constructed, and consistency characteristics are calculated. A fuzzy expert knowledge base has been created for the acquisition and adjustment of knowl
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Matzenauer, Mônica, Renata Reiser, and Helida Santos. "An approach for consensual analysis on Typical Hesitant Fuzzy Sets via extended aggregations and fuzzy implications based on admissible orders." In Workshop-Escola de Informática Teórica. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/weit.2021.18937.

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Typical Hesitant Fuzzy Logic (THFL) is founded on the theory of Hesitant Fuzzy Sets, which consider as membership degrees the finite and non-empty subsets of the unit interval, called Typical Hesitant Fuzzy Elements (THFE). THFL provides the modelling for situations where there exists not only data uncertainty, but also indecision or hesitation among experts about the possible values for preferences regarding collections of objects. In order to reduce the information collapse for comparison and/or ranking of alternatives in the preference relationships, this thesis develops new ideas on THFL c
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Ridzuan, Siti Amnah Binti Mohd, and Daud Mohamad. "Consistent linguistic fuzzy preference relation with multi-granular uncertain linguistic information for solving decision making problems." In ADVANCES IN INDUSTRIAL AND APPLIED MATHEMATICS: Proceedings of 23rd Malaysian National Symposium of Mathematical Sciences (SKSM23). Author(s), 2016. http://dx.doi.org/10.1063/1.4954563.

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Yuan, Shouhua, Yiliu Tu, and Deyi Xue. "Evaluating Supplier Involvement Using DEA and Piecewise Triangular Fuzzy AHP." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34870.

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Data Envelopment Analysis (DEA) has been widely applied in evaluating multi-criteria decision making problems which have multi-inputs and multi-outputs. However, the traditional DEA method does neither take the decision maker’s subjective preferences to the individual criteria into consideration, nor rank the selected options or decision making units (DMUs). On the other hand, Satty’s Analytical Hierarchy Process (AHP) was established to rank options or DMUs under multi-inputs and multi-outputs through pairwise comparisons. But in most cases, the AHP pairwise comparison method is not perfectly
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Nomaguchi, Yutaka, Ryousuke Matsuyasu, Takahiro Horinouchi, and Kikuo Fujita. "Design Process Planning by Multi-Objective Optimization of Technical Performance and Product Integrity." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48156.

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The importance of flexible and optimal planning of engineering design process for ensuring business success is increasingly recognized in today’s competitive environment. Because a product consists of a lot of subsystems each of which has technical functionalities, an engineering design process consists of two different activities, i.e., an activity to enhance the technical performance level of each subsystem, and an activity to enhance the integrity among the subsystems. When considering the limitation of resources that a manufacturer possesses, there is a trade-off between the achievement pr
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RODRÍGUEZ, ROSA M., FRANCISCO HERRERA, YEJUN XU, and LUIS MARTÍNEZ. "CONSISTENCY OF HESITANT FUZZY PREFERENCE RELATIONS." In Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016). WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789813146976_0012.

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Felix, Rudolf. "On Consistency of Decision Goals and Separability of Preferences of Decision Alternatives." In 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15). Atlantis Press, 2015. http://dx.doi.org/10.2991/ifsa-eusflat-15.2015.119.

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Wei Cuiping, Han Lili, and Zhang Yuzhong. "A note on the consistency of a fuzzy comparison matrix." In 2008 Chinese Control and Decision Conference (CCDC). IEEE, 2008. http://dx.doi.org/10.1109/ccdc.2008.4597691.

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Lian, Kuang-Yow, and Chien-Chi Li. "A fuzzy decision maker for portfolio problems." In 2010 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2010. http://dx.doi.org/10.1109/icsmc.2010.5642345.

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Reports on the topic "Consistency in fuzzy decision problems"

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Borgwardt, Stefan, and Rafael Peñaloza. Consistency in Fuzzy Description Logics over Residuated De Morgan Lattices. Technische Universität Dresden, 2012. http://dx.doi.org/10.25368/2022.188.

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Fuzzy description logics can be used to model vague knowledge in application domains. This paper analyses the consistency and satisfiability problems in the description logic SHI with semantics based on a complete residuated De Morgan lattice. The problems are undecidable in the general case, but can be decided by a tableau algorithm when restricted to finite lattices. For some sublogics of SHI, we provide upper complexity bounds that match the complexity of crisp reasoning.
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Buyak, Bogdan B., Ivan M. Tsidylo, Victor I. Repskyi, and Vitaliy P. Lyalyuk. Stages of Conceptualization and Formalization in the Design of the Model of the Neuro-Fuzzy Expert System of Professional Selection of Pupils. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2669.

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The article describes the problem of designing a neuro-fuzzy expert system of professional selection at the stages of conceptualization and formalization, which involves the definition of concepts, relationships and management mechanisms necessary to describe the solution of problems in the chosen subject field. The structural model of the decision making system for determining the professional selection of students for training in IT specialties is substantiated. Three subsystems are proposed as structural components for studying: psychological peculiarities, personal qualities, factual knowl
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