Relevant bibliographies by topics / Fuzzy judgments

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Fuzzy judgments'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Fuzzy judgments"

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Saaty, Thomas L., and Liem T. Tran. "Fuzzy Judgments and Fuzzy Sets." International Journal of Strategic Decision Sciences 1, no. 1 (2010): 23–40. http://dx.doi.org/10.4018/jsds.2010103002.

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Using fuzzy set theory has become attractive to many people. However, the many references cited here and in other works, little thought is given to why numbers should be made fuzzy before plunging into the necessary simulations to crank out numbers without giving reason or proof that it works to one’s advantage. In fact it does not often do that, certainly not in decision making. Regrettably, many published papers that use fuzzy set theory presumably to get better answers were not judged thoroughly by reviewers knowledgeable in both fuzzy theory and decision making. Buede and Maxwell (1995), w
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GHAZANFARI, MEHDI, and MAJID NOJAVAN. "EDUCING INCONSISTENCY IN FUZZY AHP BY MATHEMATICAL PROGRAMMING MODELS." Asia-Pacific Journal of Operational Research 21, no. 03 (2004): 379–91. http://dx.doi.org/10.1142/s0217595904000291.

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The inconsistency of judgments in the fuzzy Analytic Hierarchy Process (AHP) is a crucial issue. To make the appropriate decision, the inconsistency in decision maker's (DM) judgments needs to be eliminated or reduced. This paper proposes two mathematical models to deal with inconsistency in fuzzy AHP. In the first model, the DM's judgments are modified where the preference order of the DM's judgments remained unchanged. The second model allows reversing the preference orders of judgments. The proposed models aim to eliminate or reduce the inconsistency of fuzzy AHP by changing judgments. The
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Posadsky, Alexey Igorevich, Tatiana Vladimirovna Sivakova, and Vladimir Anatolievich Sudakov. "Aggregation of Fuzzy Expert Judgments." Keldysh Institute Preprints, no. 101 (2019): 1–12. http://dx.doi.org/10.20948/prepr-2019-101.

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Yang, Jing. "Synthesizing Different Preference Information by Fuzzy Programming Method." Advanced Materials Research 328-330 (September 2011): 2352–57. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.2352.

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Group decision making problems with different forms of preference information are discussed. Firstly, four forms of preference information ( i.e. preference ordering, utility value, AHP judgment matrix and fuzzy judgment matrix) are introduced and the computing formulas are given to transform different forms of preference information into the form of fuzzy judgment matrix. A new method that involves in different preference strength of experts is studied. Then, the assessment of the group priorities is formulated as a fuzzy linear programming problem, maximizing the group’s overall satisfaction
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Vicente, E., A. Mateos, and A. Jiménez-Martín. "A Betting- and Lottery-Based Method for Fuzzy Probability Elicitation." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 27, no. 01 (2019): 121–44. http://dx.doi.org/10.1142/s0218488519500065.

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It is very common to use linguistic term scales, whose terms are previously associated with different fuzzy numbers to assign probabilities to events in decision-making processes. However, the rigidity of such scales generates bias in the probability elicitation process and does not allow experts to adequately express their probabilistic judgments. We propose a betting and lottery-based method for eliciting a fuzzy number from the expert that represents his/her probabilistic judgments for a given event, along with a quality measure of the probabilistic judgments based on precision and consiste
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Zvyagin, Leonid S. "FUZZY SET THEORY AS A TOOL FOR MODERN APPLIED SOLUTIONS." SOFT MEASUREMENTS AND COMPUTING 2, no. 75 (2024): 31–45. http://dx.doi.org/10.36871/2618-9976.2024.02.004.

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The need for the theory of fuzzy sets is explained by the fact that thanks to fuzzy sets, it becomes possible to describe fuzzy concepts, operate on them and extract fuzzy conclusions. Today, fuzzy logicbased fuzzy systems are being implemented almost everywhere, in many business entities in order to analyze and evaluate information, make forecasts and model. The application of this theory has made it possible to make a breakthrough in the organization of management of technical facilities. The term «fuzzy set» was introduced by Lotfi A. Zadeh, having expanded the concept of a set, became the
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Abbasova, Maleyka Nazim, and Rahib Aydin Imamguluyev. "ADDRESSING AMBIGUITY IN LEGAL SYSTEMS: A FUZZY LOGIC-BASED APPROACH TO LEGAL INTERPRETATION." AUDIT 2024, no. 3 (2024): 114–26. http://dx.doi.org/10.59610/bbu3.2024.3.11.

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The purpose of the research is to address the ambiguity and inconsistencies in legal interpretations caused by the vague and complex language of legal texts. By introducing a fuzzy logic-based model, the research aims to provide a more structured and flexible approach to legal interpretation, improving consistency, fairness, and transparency in judicial decision-making. The methodology of the research - using MATLAB's Fuzzy Toolbox, the study defines input variables such as ambiguity in legal language, consistency in prior judgments, and complexity of legal principles. The output variable is t
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Simanihuruk, Tiarma, H. Hartono, Dahlan Abdullah, et al. "Hesitant Fuzzy Linguistic Term Sets with Fuzzy Grid Partition in Determining the Best Lecturer." International Journal of Engineering & Technology 7, no. 2.3 (2018): 59. http://dx.doi.org/10.14419/ijet.v7i2.3.12322.

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Decision-making on conditions that involve many alternatives, many criteria, and many judgments is a difficult thing to do. The difficulty is coupled with assessors who sometimes make decisions in hesitant, unclear, and inconsistent circumstances and each person can provide different judgments. One of the methods that can be used is Hesitant Fuzzy Linguistic Term Sets which is the development of Fuzzy Sets that can make decisions by using Hesitant Fuzzy Sets. Hesitant linguistic term has been introduced for capturing the human way of reasoning using linguistic expressions involving different l
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Konyusheva, O. N. "FUZZY SYSTEMS BASED ON FUZZY LOGIC AND THEIR APPLICATION TO OPTIMIZATION PROBLEMS." SOFT MEASUREMENTS AND COMPUTING 1, no. 2 (2021): 50–64. http://dx.doi.org/10.36871/2618-9976.2021.02.005.

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Currently, fuzzy systems based on fuzzy logic are being implemented in all areas of human activity. The most relevant application of fuzzy set theory is in medicine, environmental protection, disaster protection, education, and many other fields for information processing, diagnostics, evaluation, forecasting, and modeling. This trend exists because of the main feature of fuzzy systems. It consists in the fact that in addition to objective laws, subjective representations and judgments of people play an essential role in their functioning. Almost all concepts in natural language and our knowle
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Sudakov, V., and T. Sivakova. "Features of aggregation of fuzzy expert judgments." IOP Conference Series: Materials Science and Engineering 927 (September 26, 2020): 012034. http://dx.doi.org/10.1088/1757-899x/927/1/012034.

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Dissertations / Theses on the topic "Fuzzy judgments"

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Кузьмін, Олексій Олегович, Дмитро Леонідович Орловський та Андрій Михайлович Копп. "Оцінювання та аналіз навичок та компетенцій студентів ВНЗ". Thesis, Прикарпатський національний університет ім. Василя Стефаника, 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/40857.

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У даній роботі розглянута задача нечіткого логічного висновку для прийняття рішень в задачах підбору контингенту студентів виходячи з вимог потенційних роботодавців, що дозволяє зменшити час на обробку інформації про кандидатів на конкретну посаду.<br>This paper considers the problem of the fuzzy logic inference in order to support the decision making procedure of students’ selection based on the requirements of the potential employers. This approach allows reducing the time spent on the processing of the information about candidates for a certain position. The fuzzy characteristics of the inp
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Maloney, Krisellen 1960. "Information representation for judgment and decision-making in the development of expertise in radiology: A fuzzy-trace theory analysis." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/288847.

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Traditional information-processing accounts of the reasoning process in radiology assume that humans process the details of the input image in order to compute judgments. In these accounts, the development of expertise involves the acquisition of increasingly precise and complex internal problem representations that are based on a normal anatomy prototype. Fuzzy-trace theory predicts that accurate judgments rely on the reasoners ability to ignore irrelevant detail, to retrieve relevant gist memories and to accurately instantiate the image information with respect to the internal representation
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Rubinchik, Nataliya. "A demonstration of the meta-studies methodology using the risky-choice framing effect." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1574201911927335.

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Недашківська, Надія Іванівна. "Методологія та інструментарій підтримки прийняття рішень на основі ієрархічних та мережевих моделей". Thesis, КПІ ім. Ігоря Сікорського, 2018. https://ela.kpi.ua/handle/123456789/25122.

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Робота виконана в Інституті прикладного системного аналізу Національного технічного університету України «Київський політехнічний інститут імені Ігоря Сікорського»<br>У дисертаційній роботі запропоновано методологію підтримки прийняття рішень, яка з використанням розробленого системного підходу дозволяє підвищити достовірність розв’язків в складних слабко структурованих системах на основі ієрархічних та мережевих моделей і включає нові та удосконалені методи: оцінювання і підвищення узгодженості матриць парних порівнянь загального виду залежно від властивостей цих матриць, розрахунку довірчи
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Недашківська, Надія Іванівна. "Методологія та інструментарій підтримки прийняття рішень на основі ієрархічних та мережевих моделей". Doctoral thesis, Київ, 2018. https://ela.kpi.ua/handle/123456789/25119.

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Робота виконана в Інституті прикладного системного аналізу Національного технічного університету України «Київський політехнічний інститут імені Ігоря Сікорського»<br>У дисертаційній роботі запропоновано методологію підтримки прийняття рішень, яка з використанням розробленого системного підходу дозволяє підвищити достовірність розв’язків в складних слабко структурованих системах на основі ієрархічних та мережевих моделей і включає нові та удосконалені методи: оцінювання і підвищення узгодженості матриць парних порівнянь загального виду залежно від властивостей цих матриць, розрахунку довірчи
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Jhou, Yu-Kai, and 周煜凱. "Decomposed Fuzzy Controller and Machine Vision Applied to Direction Judgment and Assembling Mechanism." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/07159339193637326666.

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碩士<br>龍華科技大學<br>機械工程系碩士班<br>103<br>The paper applies decomposed Fuzzy Controller and Machine Vision to Direction Judgment and Assembling Mechanism. Adapted mechanism is a B degree mechatronics test device defined by Skill Evaluation Center of workforce development agency, ministry of labor. Parts of device are modified: direction judgment sensor replaced by machine vision, PLC control replaced by PC-Based control, step motor replaced by induction motor and LABVIEW software designed program, Machine vision judges the grooves direction of the workpiece. The method of image processing has gray le
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Ou, Tsung-Lin, and 歐宗霖. "Implementing“Clustering with scale” in Item Scoring:The Development and Application of Fuzzy Scoring on Situational Judgment Tests." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/7z5bfy.

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博士<br>國立中央大學<br>企業管理學系<br>105<br>Based on the viewpoints of Fuzzy theory, the aim of this research is to deal with judgment uncertainty which was ignored on the issue of scoring situational judgment test. By the literature inference, the research developed the approach of Situational Judgment Test Fuzzy Scoring and take the pick-best scale of situational judgment test as a demonstration, adapting simulated and empirical research to compare the differences between the fuzzy scoring and the crisp scoring. Analysis of results concludes that: (1) Situational Judgment Test Fuzzy Scoring can integra
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Maloney, Krisellen. "Information Representation for Judgment and Decision-Making in the Development of Expertise in Radiology: A Fuzzy-Trace Theory Analysis." Thesis, 1998. http://hdl.handle.net/10150/105656.

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Traditional information-processing accounts of the reasoning process in radiology assume that humans process the details of the input image in order to compute judgments. In these accounts, the development of expertise involves the acquisition of increasingly precise and complex internal problem representations that are based on a normal anatomy prototype. Fuzzy-trace theory predicts that accurate judgments rely on the reasoners ability to ignore irrelevant detail, to retrieve relevant gist memories and to accurately instantiate the image information with respect to the internal representa
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Books on the topic "Fuzzy judgments"

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Dongrui, Wu, ed. Perceptual computing: Aiding people in making subjective judgments. IEEE Press, 2010.

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Effer-Uhe, Daniel Oliver. Die Bindungswirkung von Präjudizien: Eine Untersuchung aus dem Blickwinkel von Prinzipientheorie und Fuzzy-Logik. Cuvillier, 2008.

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Mendel, Jerry M. Perceptual computing: Aiding people in making subjective judgments. John Wiley & Sons, 2010.

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IGOShIN, Vladimir. Logic with elements of mathematical logic. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1856361.

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In the textbook, traditional logic is presented from the point of view of mathematical logic. Mathematization begins with the study of the topic "Concept", continues with the topic "Judgment" and reaches its greatest effectiveness in the study of deductive reasoning. Thus, the most effective part of traditional logic is subjected to mathematization.&#x0D; The issues of the relationship between logic and intuition in thought processes, the role of language in them, as well as plausible conclusions and elements of the theory of fuzzy sets and fuzzy logic are considered.&#x0D; Meets the requireme
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Mendel, Jerry, and Dongrui Wu. Perceptual Computing: Aiding People in Making Subjective Judgments. Wiley & Sons, Incorporated, John, 2010.

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Book chapters on the topic "Fuzzy judgments"

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Smithson, Michael. "A Class of Fuzzy Featural Models of Similarity Judgments." In Fuzzy Logic. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2014-2_35.

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Nakamura, Kazuo. "On the Nature of Intransitivity in Human Preferential Judgments." In Fuzzy Approach to Reasoning and Decision-Making. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2753-0_13.

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Mendel, Jerry M., Sheila Murphy, Lynn C. Miller, Matt Martin, and Nilesh Karnik. "The Fuzzy Logic Advisor for Social Judgments: A First Attempt." In Computing with Words in Information/Intelligent Systems 2. Physica-Verlag HD, 1999. http://dx.doi.org/10.1007/978-3-7908-1872-7_22.

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Mete, Suleyman, Nurdan Ece Oz, Muhammet Gul, Faruk Serin, and Erkan Celik. "A Risk Assessment Approach Using Both Stochastic Data and Subjective Judgments." In Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23756-1_130.

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Li, Zongmin, Ye Zhao, and Asaf Hajiyev. "Multi-criteria Evaluation of Rumor Refuting Platform’s Refuting Capacity with Hesitant Fuzzy Judgments." In Proceedings of the Fifteenth International Conference on Management Science and Engineering Management. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79203-9_5.

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Keivanpour, Samira. "A Fuzzy Sustainable Quality Function Deployment Approach to Design for Disassembly with Industry 4.0 Technologies Enablers." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28839-5_86.

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AbstractIntegrating sustainability into product design is a proactive circular economy practice and design for disassembly is an essential eco-design practice for complex product manufacturers. Today, industry 4.0 technologies have considerable influence on product life cycle management, and a few studies address the contributions of these technologies to eco-design methods. Designing the appropriate eco-design tool is challenging considering the complexity of products, organizational instruments, the need for integrating diverse databases, customization of the tool, and incorporating the stra
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Kacprzyk, Janusz. "Bipolar Models for a More Realistic Representation and Processing of Human Judgments, Intentions and Preferences: A Role of Fuzzy Logic." In Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23756-1_1.

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Atalma, Umut, and Tuncay Gürbüz. "A Novel Comprehensive Decision-Making Criteria Weights Proposition Under Fuzzy Preference Judgments for Project Type Selection in the Shipbuilding Industry." In Lecture Notes in Networks and Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09176-6_54.

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Ji, Wen, Haoshan Shi, and Ying Wang. "Objective Evaluation for Compressed Video Quality Based on Fuzzy Synthetic Judgment." In Fuzzy Systems and Knowledge Discovery. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11881599_92.

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Zhang, Qian, Jianxia Chen, Fan Yang, Yu Cheng, and Liang Xiao. "A Novel Approach of Automatic Judgment for Subjective Questions." In Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70665-4_40.

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Conference papers on the topic "Fuzzy judgments"

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Yue, Keyu, Yu Zheng, Hongdan Zhao, and Guangmin Gao. "Tower Line Condition Assessment Based on Improved Fuzzy Integrated Judgment Method." In 2024 International Conference on Energy and Electrical Engineering (EEE). IEEE, 2024. http://dx.doi.org/10.1109/eee59956.2024.10709387.

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Shi, Hongbao, Jun Liu, Yimei Huang, and Jinping Li. "Non-Destructive Judgment of Watermelon Ripeness Based on Multi-Feature Fusion of Image." In 2024 20th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). IEEE, 2024. http://dx.doi.org/10.1109/icnc-fskd64080.2024.10702304.

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Bin Rodzman, Shaiful Bakhtiar, and Ku Muhammad Naim Ku Khalif. "Consistent Fuzzy Preference Relation Method to Evaluate the Weightage for Malay Translated Hadith Expert Judgment." In 2024 5th International Conference on Artificial Intelligence and Data Sciences (AiDAS). IEEE, 2024. http://dx.doi.org/10.1109/aidas63860.2024.10730339.

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Sule, Dileep R., Tory K. Watkins, and David Restifo. "Fuzzy Logic Application in Data Acquisition." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/cie-21250.

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Abstract The aim of this paper is to introduce an expansion of the practice of using surveys when making subjective judgments or decisions. This method is particularly useful in situations in which precise data is limited or nonexistent. It can be especially valuable when working with new designs by reducing the error associated with estimates in the beginning of the product’s life cycle in which costs are greatest. Our approach modifies the traditional survey style by including fuzzy logic and expert judgment. Using fuzzy logic, we solicit the information in a way that gives the evaluator a c
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Entani, Tomoe. "Fuzzy Approach for Group Assessment Based on the Consistency of Individual Judgments." In 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2019. http://dx.doi.org/10.1109/fuzz-ieee.2019.8858897.

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Rodrigues, Matilde A., Celina P. Leão, Eusébio Nunes, Sérgio Sousa, and Pedro Arezes. "The Application of a Fuzzy Approach to the Analysis of OSH Practitioners Level of Risk Acceptance." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-40069.

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Organizations need constantly to take decisions about risk. In this process, Occupational Safety &amp; Health (OSH) practitioners’ judgments have a great importance. If on one hand they have the technical knowledge about risk, on the other hand the decisions can be dependent on their level of risk acceptance. In view of this, this paper analyzes the views of the OSH practitioners about the level of risk acceptance, using the Fuzzy logic approach. A questionnaire to the analysis of the reported level of risk acceptance was developed and applied. The questionnaire included 79 risk scenarios, eac
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Li, Junhong, Mingjuan Dong, Fengchun Zhang, and Liyu Nie. "Group priority vector based on comparison judgments." In 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2011). IEEE, 2011. http://dx.doi.org/10.1109/fskd.2011.6019499.

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Chen, Zhong-Zhe, Yu Liu, Hong-Zhong Huang, Dan Ling, and Li-Ping He. "A Fuzzy Similarity-Based Approach to Reliability Allocation of Diesel Engine." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47378.

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Most of new products evolve based upon existing products. The reliability indices and maintenance records of existing products are very important to provide useful information for the reliability allocation of the new evolutionary products. In this paper, a fuzzy similarity-based reliability allocation method which considers not only the similarity between the new product and old ones, but also the judgments from domain experts, is proposed to realize a reasonable reliability allocation at the initial design stage of diesel engines. The new method allows for using both the objective informatio
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Kunsch, P. L. "A Framework for Assessing the Cost and Financing Uncertainties of the Belgian High Level-Waste Repository." In ASME 2003 9th International Conference on Radioactive Waste Management and Environmental Remediation. ASMEDC, 2003. http://dx.doi.org/10.1115/icem2003-4636.

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This paper presents the general approach presently developed by ONDRAF/NIRAS/NERAS, the Belgian radioactive waste management agency for dealing with the economic and financial uncertainties of the High-level-Waste (HLW) repository project in clay. This project will be for many more years the object of R&amp;D studies. Many uncertainties thus still exist regarding the final design, the eventual costs, and the realisation schedule. Recommendations from the Electric Power Research Institute (EPRI) are available for computing contingency factors to be applied on top of the basic costs delivered by
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Ayağ, Zeki. "A COMPARISON STUDY OF FUZZY AHP-BASED MCDM METHODS ON GREEN CONCEPT SELECTION PROBLEM." In MBP 2025 London International Conference on Management Business Practices, 22-23 April. Global Research & Development Services Publishing, 2025. https://doi.org/10.20319/icssh.2025.113114.

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The demand for green products has dramatically increased because the importance and public awareness of the preservation of natural environment was taken into consideration much more last two decades. As a result of this, manufacturing companies especially have been forced to design more green products, resulting in a problem of how they incorporate environmental issues into their design and evaluate concept options. The need for practical decision-making tools to address this problem is rapidly evolving since the problem turns into a multiple-criteria decision making (MCDM) problem in the pre
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