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Статті в журналах з теми "Fuzzy judgments"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 липня 2025

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1

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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Анотація:

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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2

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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3

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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4

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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Анотація:

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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5

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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6

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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7

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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8

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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9

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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Анотація:

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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10

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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11

Shved, A. V. "DEVELOPMENT OF TECHNIQUE FOR DETERMINING THE MEMBERSHIP FUNCTION VALUES ON THE BASIS OF GROUP EXPERT ASSESSMENT IN FUZZY DECISION TREE METHOD." Radio Electronics, Computer Science, Control, no. 2 (June 27, 2024): 106. http://dx.doi.org/10.15588/1607-3274-2024-2-11.

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Анотація:

Context. Recently, fuzzy decision trees have become widely used in solving the classification problem. In the absence of objective information to construct the membership function that shows the degrees of belongingness of elements to tree nodes, the only way to obtain information is to involve experts. In the case of group decision making, the task of aggregation of experts’ preferences in order to synthesize a group decision arises. The object of the study is group expert preferences of the degree of belonging (membership function) of an element to a given class, attribute, which require str

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12

G., Mahender Reddy, Afreen Sameena, Shyam Prasad V., and Majeed Abdul. "A computational method for normalization of Trapezoidal Fuzzy Numbers." Journal of Applied Mathematics and Statistical Analysis 3, no. 3 (2022): 1–5. https://doi.org/10.5281/zenodo.7110031.

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<em>In multi criteria decision making, if the judgments are expressed as fuzzy numbers, the normalization process is necessary in obtaining the rank of alternatives. Extent analysis method on Fuzzy Analytical Hierarchy Process is a popular decision making method introduced by D.Y. Chang(1996). This method was applied on various applications to obtain the rank of alternatives. The normalization method is to normalize Triangular Fuzzy Numbers, it has some flaws according to Wang and Elhag (2006). This paper presents the modified extent analysis method with accurate normalization procedure and an

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13

Yamashita, Toshiyuki. "Fuzzy Logical Approach to Perception of Dot Numerosity." Perceptual and Motor Skills 69, no. 3_suppl (1989): 1319–29. http://dx.doi.org/10.2466/pms.1989.69.3f.1319.

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Анотація:

The present study utilized a fuzzy logical approach for understanding human perception or judgments of dot numerosity. In Exp. 1 subjects were required to view dot patterns and to judge the truthfulness of the single and combined statements which asserted that the number of dots was large. The results indicated that (a) the rules based on the minimum and maximum truthfulness of the component statements best approximate subjective conjunction and disjunction about dot numerosity, when subjects kept the operations of the standard logic system in mind, (b) When the subjects based their judgments

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14

Yamashita, Toshiyuki. "Fuzzy Logical Approach to Perception of Dot Numerosity." Perceptual and Motor Skills 69, no. 3-2 (1989): 1319–29. http://dx.doi.org/10.1177/00315125890693-247.

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Анотація:

The present study utilized a fuzzy logical approach for understanding human perception or judgments of dot numerosity. In Exp. 1 subjects were required to view dot patterns and to judge the truthfulness of the single and combined statements which asserted that the number of dots was large. The results indicated that (a) the rules based on the minimum and maximum truthfulness of the component statements best approximate subjective conjunction and disjunction about dot numerosity, when subjects kept the operations of the standard logic system in mind. (b) When the subjects based their judgments

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15

Kacprzak, Dariusz. "The Fuzzy SAW Method and Weights Determined Based on Fuzzy Entropy." Przegląd Statystyczny 65, no. 1 (2019): 25–40. http://dx.doi.org/10.5604/01.3001.0014.0524.

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Анотація:

The paper presents a new approach to the fuzzy SAW method, which uses fuzzy entropy. It allows to identify the best alternative by the application FSAW method if decision makers use fuzzy numbers or linguistic variables. Moreover, the presented method allows to avoid subjectivity and imprecision caused by incomplete knowledge, judgments, opinions and preferences of decision makers.

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16

Kabak, Özgür, and Füsun Ülengin. "A Demand Forecasting Methodology for Fuzzy Environments." JUCS - Journal of Universal Computer Science 16, no. (1) (2010): 121–39. https://doi.org/10.3217/jucs-016-01-0121.

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Анотація:

Several supply chain and production planning models in the literature assume the demands are fuzzy but most of them do not offer a specific technique to derive the fuzzy demands. In this study, we propose a methodology to obtain a fuzzy-demand forecast that is represented by a possibilistic distribution. The fuzzy-demand forecast is found by aggregating forecasts based on different sources; namely statistical forecasting methods and experts' judgments. In the methodology, initially, the forecast derived from the statistical forecasting techniques and experts' judgments are represented by trian

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17

Fitria Jumarni, Ratih, and Nurnadiah Zamri. "An integration of fuzzy TOPSIS and fuzzy logic for multi-criteria decision making problems." International Journal of Engineering & Technology 7, no. 2.15 (2018): 102. http://dx.doi.org/10.14419/ijet.v7i2.15.11362.

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Multi-Criteria Decision Making (MCDM) is a decision-making methods, which it is able to find a unique agreement from number of experts by evaluating the uncertain judgment among them. Several fuzzy logic based approaches have been employed in MCDM to handle the linguistic uncertainties and hesitancy. However, there is still a need to handle high level of uncertainties that exists in decision making problems. Thus, the purpose of this paper is to introduce the new concept namely fuzzy TOPSIS and fuzzy logic based MCDM. The proposed concepts aims to handle the high levels of uncertainties which

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18

Koll, Mathew, and Padmini Srinivasan. "Fuzzy versus probabilistic models for user relevance judgments." Journal of the American Society for Information Science 41, no. 4 (1990): 264–71. http://dx.doi.org/10.1002/(sici)1097-4571(199006)41:4<264::aid-asi5>3.0.co;2-3.

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19

Huseyinov, Ilham, and Feride Savaroglu Tabak. "The Evaluation of Computer Algebra Systems Using Fuzzy Multi-Criteria Decision-Making Models." International Journal of Software Innovation 8, no. 1 (2020): 1–16. http://dx.doi.org/10.4018/ijsi.2020010101.

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The main purpose of this study is to present a systematic methodology based on fuzzy Multi-Criteria Decision-Making (FMCDM) models to help users evaluate computer algebra systems (CAS). CAS is a software package for the manipulation of mathematical formulas. The suggested methodology is user-centred which involves users' subjective evaluation judgments. User judgments are represented by means of fuzzy linguistic modelling techniques. An evaluation criteria framework based on the concept of the usefulness of CAS is developed. Next, two FMCDM models – fuzzy Analytical Hierarchy Process (FAHP) an

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20

Sidik, Galih Kurniawan, and Taufik Djatna. "A FAIRNESS MODEL BASED ON INTERVAL TYPE-2 FUZZY SET FOR ISLAMIC FINANCING SCORING IN INDONESIA." Airlangga International Journal of Islamic Economics and Finance 1, no. 1 (2018): 43. http://dx.doi.org/10.20473/aijief.v1i1.10431.

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Анотація:

Conventional credit scoring model could lead to serious and unfair problems because in certain case it would incriminate one party in financing. Islamic financing scoring model complies with Sharia rules and ensures fairness among parties. Currently, there are no certain rules on Islamic financing scoring model which lead to subjective judgments. In the subjective judgments, words could mean different things to different people. Thus, this paper proposed and deployed models for scoring of default risk level by using Interval Type-2 Fuzzy Set model to support the subjective judgments in maintai

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21

Liu, Yuhong, I.-Ming Jiang, and Meng-I. Tsai. "Influence of Managers’ Subjective Judgments on Project Abandonment Decision Making." International Journal of Information Technology & Decision Making 18, no. 02 (2019): 419–43. http://dx.doi.org/10.1142/s0219622018500529.

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Real option valuation with flexibility under uncertainty has been proposed as an alternative and advantageous complement to the traditional net present value (NPV) method for capital budgeting decisions, yet the problem with unrealistic expectations on precision has still not been solved. It appears clearly that a high level of precision in cash flow estimates can be misleading for the decision makers with sentiments. To the extent that precision surrounds a decision, we introduce a fuzzy process into an abandonment option approach, which is built on the use of fuzzy numbers, to investigate th

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22

Bolton, Amy E., Randolph S. Astwood, and Gwendolyn E. Campbell. "Policy Capturing and Fuzzy Logic: A Better Approach to Representing Judgment Data?" Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 3 (2002): 541–45. http://dx.doi.org/10.1177/154193120204600368.

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Анотація:

At the 45th annual meeting of HFES, we conducted an alternative format session in which fuzzy logic was introduced as an alternative approach to analyzing judgment data and representing decision-making policies (see Buff et al., 2001). During the alternative format session, usability judgments were collected on-site for Advanced Distance Learning (ADL) applications. These data provided the basis for an empirical assessment of the value added of one modeling technique, fuzzy logic, over the more traditional approach to analyzing policy capturing data, multiple linear regression. This paper desc

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23

Ocampo, Lanndon, Eppie Clark, and Kae Vines Tanudtanud. "A Sustainable Manufacturing Strategy from Different Strategic Responses under Uncertainty." Journal of Industrial Engineering 2015 (February 10, 2015): 1–11. http://dx.doi.org/10.1155/2015/210568.

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Анотація:

This paper presents a decision framework that highlights the integration of manufacturing strategy (MS) and sustainability along with strategic responses as a significant component. This integration raises complexity and uncertainty in decision-making following the number of subjective components with their inherent relationships that must be brought into context and the huge amount of required information in eliciting judgments. Thus, a proposed hybrid multicriteria decision-making (MCDM) approach in the form of an integrated probabilistic fuzzy analytic network process (PROFUZANP) is adopted

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24

Takayanagi, Sumiko, and Norman Cliff. "An Examination of Graduate Students' Statistical Judgments: Statistical and Fuzzy Set Approaches." Psychological Reports 86, no. 1 (2000): 243–59. http://dx.doi.org/10.2466/pr0.2000.86.1.243.

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The present study examined how statistical significance levels are treated and interpreted by graduate students who use hypothesis-testing in their scientific investigation. To test underlying psychological aspects of hypothesis-testing, the idea of fuzzy set theory was employed to identify the uncertain points in judgments. 34 graduate students in a psychology department made judgments about hypothetical statistical decisions. The results indicated that (1) the majority of these students treated significance levels on a continuum and rated them according to the magnitude of statistical signif

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25

Yager, Ronald R., and Frederick E. Petry. "Crisply Implementing Subjective Fuzzy Requirements." International Journal of Fuzzy System Applications 6, no. 3 (2017): 1–5. http://dx.doi.org/10.4018/ijfsa.2017070101.

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Анотація:

In this paper, the authors examine a paradigmatic approach for the implementation of crisp decisions based on imprecise fuzzy requirements residing in the decision maker's cognition in a non-contestable manner. This is closely related to issues of human subjective judgments about such situations. The authors use the airline carry-on bag size decision as paradigm example for the discussions.

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26

NAKAMURA, Kazuo. "Intransitivity of Uncertain Preferential Judgments and Fuzzy Utility Modeling." Transactions of the Society of Instrument and Control Engineers 25, no. 6 (1989): 706–13. http://dx.doi.org/10.9746/sicetr1965.25.706.

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27

Kumar Goyal, Raman, Jaskirat Singh, Nidhi Kalra, Anshu Parashar, Gagan Singla, and Sakshi Kaushal. "Obtaining Crisp Priorities for Triangular and Trapezoidal Fuzzy Judgments." Computer Systems Science and Engineering 41, no. 1 (2022): 157–70. http://dx.doi.org/10.32604/csse.2022.018962.

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28

Wardoyo, Retantyo, and Tenia Wahyuningrum. "University Website Quality Ranking using Logarithmic Fuzzy Preference Programming." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 3349. http://dx.doi.org/10.11591/ijece.v8i5.pp3349-3358.

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The current tight competition in developing University websites forces developers to create better products that meet users needs and convinient. There are at least two factors representing university websites; accessibility and usability. We test three criteria of accessibility and usability that are called stickiness, backlink, and web page loading time. Usability and accessibility are closely related to subjective user judgments. Human judgment cannot be valid. Thus the use of fuzzy numbers are expected to provide solutions in calculating the results. In this research, the question of usabi

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29

Retantyo, Wardoyo, and Wahyuningrum Tenia. "University Website Quality Ranking using Logarithmic Fuzzy Preference Programming." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 3349–58. https://doi.org/10.11591/ijece.v8i5.pp3349-3358.

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Анотація:

The current tight competition in developing University websites forces developers to create better products that meet users needs and convinient. There are at least two factors representing university websites; accessibility and usability. We test three criteria of accessibility and usability that are called stickiness, backlink, and web page loading time. Usability and accessibility are closely related to subjective user judgments. Human judgment cannot be valid. Thus the use of fuzzy numbers are expected to provide solutions in calculating the results. In this research, the question of usabi

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30

Nakamura, Kazuo. "Canonical fuzzy numbers of dimension two and fuzzy utility difference for understanding preferential judgments." Information Sciences 50, no. 1 (1990): 1–22. http://dx.doi.org/10.1016/0020-0255(90)90002-r.

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31

MIKHAILOV, LUDMIL, HOSEIN DIDEHKHANI, and SOHEIL SADI-NEZHAD. "WEIGHTED PRIORITIZATION MODELS IN THE FUZZY ANALYTIC HIERARCHY PROCESS." International Journal of Information Technology & Decision Making 10, no. 04 (2011): 681–94. http://dx.doi.org/10.1142/s0219622011004518.

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Анотація:

The paper deals with the group prioritization problem in the fuzzy analytic hierarchy process. We extend the fuzzy preference programming method to fuzzy group prioritization by introducing important weights of decision-makers (DMs). The modified prioritization problem is represented as a weighted fuzzy goal programming model. Additionally, we represent the uncertain DMs' importance weights as fuzzy numbers and modify the goal programming model by a possibilistic approach. Both proposed models transform the initial prioritization problems with fuzzy or crisp important weights into equivalent c

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32

Panjavongroj, Saruntorn, and Busaba Phruksaphanrat. "Selection of Supply Chain Sustainability Management System by Fuzzy Additive Preference Programming Method." Processes 10, no. 6 (2022): 1189. http://dx.doi.org/10.3390/pr10061189.

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Анотація:

A selection of suitable sustainability management systems (SMS) is a major part of supply chain strategies to create a competitive advantage, reduce total costs, and manage long-term sustainability. A framework and method for prioritizing supply chain SMSs are presented in this research. Analytic hierarchy process (AHP) is the most common method for alternative selection in multi-criteria decision-making (MCDM). However, complex information is mixed with ambiguity and uncertainty, which makes decision makers unable to use precise or crisp numbers, so fuzzy numbers are presented to remedy this

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33

Zhao, Zhi, and Zhuo Nan Feng. "Fuzzy Decision Theory Applications in the Field of Oil and Gas Production and Operation." Advanced Materials Research 1044-1045 (October 2014): 1859–62. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1859.

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Анотація:

This article in view of the oil and gas production and operation plan evaluation indexes both depend on each other, and contradictory, difficult to conduct a comprehensive evaluation of characteristics. Using the fuzzy mathematics method to establish calculation model, through the fuzzy comprehensive evaluation, selected from several schemes out a best solution, to help managers to make right decisions and judgments.

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34

Han, Dan, Guang Yu Wang, and Tian Yang Zang. "Application of Fuzzy Decision Theory in the Oil-Gas Field Production and Management." Applied Mechanics and Materials 488-489 (January 2014): 1297–300. http://dx.doi.org/10.4028/www.scientific.net/amm.488-489.1297.

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Анотація:

For evaluation indicators are dependent on each other and contradictory, difficult to conduct a comprehensive evaluation in the oil-gas production management program, the paper uses the fuzzy mathematics method to establish calculation model, selects out a best solution from a number of programs to help field managers to make the right decisions and judgments by the fuzzy comprehensive evaluation.

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35

Chen, Yuan, Bing Li, and Xiao Jun Yang. "An Integrated Fuzzy Multi-Attribute Decision-Making Methodology for Evaluation of Mechanical Product." Key Engineering Materials 450 (November 2010): 534–38. http://dx.doi.org/10.4028/www.scientific.net/kem.450.534.

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Анотація:

The concept evaluation of mechanical product is essentially a multi-attribute decision making (MADM) problem in the fuzzy environment. In order to reduce the adverse impact of preference or judgments of decision makers on the final evaluation results, this paper attempts to propose an integrated fuzzy multi-attribute decision making methodology that combines the fuzzy TOPSIS technique and the objective weighting to evaluate mechanical product. The fuzzy TOPSIS technique is applied to rank the design alternatives, and the objective weighting method is integrated into the fuzzy TOPSIS technique

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36

Bandorina, L. M., L. M. Savchuk, and T. O. Klymkovych. "THE PROBLEMS OF MODELING AN EXPERT AND ANALYTICAL TASKS WITH TAKING INTO ACCOUNT WELL-SPECTRAL DATA AND FACTORS." Science and Transport Progress, no. 28 (August 25, 2009): 125–28. http://dx.doi.org/10.15802/stp2009/13617.

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Анотація:

In the paper there are considered the theoretical aspects of realization for well-grounded transition from classic stochastic models and expert judgments to fuzzy-set descriptions at modeling of expert analytic systems.

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37

Mendoza, Guillermo A., and William Sprouse. "Forest Planning and Decision Making under Fuzzy Environments: An Overview and Illustration." Forest Science 35, no. 2 (1989): 481–502. http://dx.doi.org/10.1093/forestscience/35.2.481.

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Abstract Forest systems are inherently complex and therefore lend themselves naturally to fuzzy approaches in planning and decision making. In recognition of this, a two-stage approach to forest planning is proposed. This paper describes two modeling approaches or methods representing the two critical stages in planning: (1) generation of alternatives, and (2) evaluation and prioritization of these alternatives. The method for generating alternative solutions adopts a fuzzy approach, which allows for a more robust and flexible generation of alternatives. The second method enables the decision

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Sudakov, V., and T. Sivakova. "Methodology for processing expert judgments based on fuzzy weighted summation." IOP Conference Series: Materials Science and Engineering 927 (September 26, 2020): 012041. http://dx.doi.org/10.1088/1757-899x/927/1/012041.

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39

Chen, Dingjun, Shaoquan Ni, Chang’an Xu, Hongxia Lv, and Keyun Qin. "A Soft Rough-Fuzzy Preference Set-Based Evaluation Method for High-Speed Train Operation Diagrams." Mathematical Problems in Engineering 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/5795604.

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This paper proposes a method of high-speed railway train operation diagram evaluation based on preferences of locomotive operation, track maintenance, S & C, vehicles and other railway departments, and customer preferences. The application of rough set-based attribute reduction obtains the important relative indicators by eliminating excessive and redundant evaluation indicators. Soft fuzzy set theory is introduced for the overall evaluation of train operation diagrams. Each expert utilizes a set of indicators during evaluation based on personal preference. In addition, soft fuzzy set theo

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40

Wu, Hsin-Chieh, Yu-Cheng Wang, and Tin-Chih Toly Chen. "Assessing and Comparing COVID-19 Intervention Strategies Using a Varying Partial Consensus Fuzzy Collaborative Intelligence Approach." Mathematics 8, no. 10 (2020): 1725. http://dx.doi.org/10.3390/math8101725.

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The COVID-19 pandemic has severely impacted our daily lives. For tackling the COVID-19 pandemic, various intervention strategies have been adopted by country (or city) governments around the world. However, whether an intervention strategy will be successful, acceptable, and cost-effective or not is still questionable. To address this issue, a varying partial consensus fuzzy collaborative intelligence approach is proposed in this study to assess an intervention strategy. In the varying partial consensus fuzzy collaborative intelligence approach, multiple decision makers express their judgments

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Akbari, Fatemeh, Hamed Fazlollahtabar, and Iraj Mahdavi. "An Uncertain Decision Making Process Considering Customers and Services in Evaluating Banks." International Journal of Strategic Decision Sciences 4, no. 2 (2013): 48–78. http://dx.doi.org/10.4018/jsds.2013040104.

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In today’s changing environment two properties are required to service namely good relation with customers and service quality. Nowadays no organization can get great achievement unless it can attract sufficient customers providing better service quality is important for service firms. This paper proposes a novel combined approach utilizing group decision making process to evaluate and rank criteria influencing the customer relationship management and service quality of four banks in Iran based on fuzzy decision making trial and evaluation laboratory (Fuzzy DEMATEL) and fuzzy analytic network

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Marimuthu, G., and G. Ramesh. "On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria." International Research Journal of Engineering, IT & Scientific Research 2, no. 3 (2016): 54. http://dx.doi.org/10.21744/irjeis.v2i3.41.

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Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques. Every decision making can be considered as the choice from the set of alternatives based on a set of criteria. The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10]. The weight vectors from this comparison model are obtained by using extent analysis method. This paper concern with an alternate method of finding the wei

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Moray, Neville, Eugene Kruschelnicky, Paul Eisen, Laura Money, and I. B. Turksen. "A Fuzzy Set Analysis of Skill, Rule and Knowledge-Based Workload." Proceedings of the Human Factors Society Annual Meeting 32, no. 2 (1988): 164–67. http://dx.doi.org/10.1177/154193128803200236.

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Using fuzzy measures of task difficulty the effect of combining different aspects of a task on the overall task workload was explored. A complete set of combination rules is provided, of the general form “if the skill-based component is slightly difficult, the rule-based moderately difficult, and the knowledge-based slightly difficult, then the task as a whole is moderately difficult.” Fuzzy linguistic variables provide an adequate systematic framework for such combined judgments.

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WEI, Guiwu. "PICTURE FUZZY CROSS-ENTROPY FOR MULTIPLE ATTRIBUTE DECISION MAKING PROBLEMS." Journal of Business Economics and Management 17, no. 4 (2016): 491–502. http://dx.doi.org/10.3846/16111699.2016.1197147.

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In this paper, we investigate the multiple attribute decision making problems with picture fuzzy information. The advantage of picture fuzzy set is easily reflecting the ambiguous nature of subjective judgments because the picture fuzzy sets are suitable for capturing imprecise, uncertain, and inconsistent information in the multiple attribute decision making analysis. Thus, the cross entropy of picture fuzzy sets, called picture fuzzy cross entropy, is proposed as an extension of the cross entropy of fuzzy sets. Then, a multiple attribute decision making method based on the proposed picture f

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Bolturk, Eda, Murat Gülbay, and Cengiz Kahraman. "Sustainable energy selection based on interval-valued intuitionistic fuzzy and neutrosophic aggregation operators." Journal of Intelligent & Fuzzy Systems 39, no. 5 (2020): 6553–63. http://dx.doi.org/10.3233/jifs-189118.

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Sustainable energy selection has been a very popular problem among the researchers and various models including deterministic, probabilistic and fuzzy approaches have been developed for the solution of this problem. Fuzzy approaches to sustainable energy selection problems have been often handled in the literature. Aggregation operators for multi-expert decision making problems are an alternative solution technique for multi criteria decision making problems. Since neutrosophic and intuitionistic fuzzy aggregation operators are comparable extensions of ordinary fuzzy sets, they have been emplo

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Naim, Syibrah, and Hani Hagras. "A Big-Bang Big-Crunch Optimized General Type-2 Fuzzy Logic Approach for Multi-Criteria Group Decision Making." Journal of Artificial Intelligence and Soft Computing Research 3, no. 2 (2013): 117–32. http://dx.doi.org/10.2478/jaiscr-2014-0009.

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Abstract Multi-Criteria Group Decision Making (MCGDM) aims to find a unique agreement from a number of decision makers/users by evaluating the uncertainty in judgments. In this paper, we present a General Type-2 Fuzzy Logic based approach for MCGDM (GFLMCGDM). The proposed system aims to handle the high levels of uncertainties which exist due to the varying Decision Makers’ (DMs) judgments and the vagueness of the appraisal. In order to find the optimal parameters of the general type-2 fuzzy sets, we employed the Big Bang-Big Crunch (BB-BC) optimization. The aggregation operation in the propos

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Li, Xue, Wei’ao Liu, Ning Zhou, and Xiongjun Yuan. "Probability Analysis of Hazardous Chemicals Storage Tank Leakage Accident Based on Neural Network and Fuzzy Dynamic Fault Tree." Applied Sciences 15, no. 7 (2025): 3504. https://doi.org/10.3390/app15073504.

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Aiming at the problems of complex calculation processes, insufficient risk data, and reliance on experts’ subjective judgments that exist in traditional probability analysis methods, this paper proposes a probability analysis method for hazardous chemical storage tank leakage accidents based on neural networks and fuzzy dynamic fault trees (Fuzzy DFT). This method combines fuzzy set theory (FST) and Bootstrap technology to accurately quantify the failure probabilities of basic events (BEs) and reduce the dependence on experts’ subjective judgments. Furthermore, an artificial neural network (AN

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Pistunov, I., M. Pashkevych, and G. Li. "APPLICATION OF THE FUZZY SET METHOD FOR THE SELECTION OF ENTERPRISE SUSTAINABLE DEVELOPMENT PROJECTS CONSIDERING STAKEHOLDERS’ OPINIONS." Journal of Lviv Polytechnic National University. Series of Economics and Management Issues 7, no. 1 (2023): 153–63. http://dx.doi.org/10.23939/semi2023.01.153.

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Purpose. The purpose of this study is to improve the theoretical and methodological foundations of sustainable development management introduced into an enterprise environment for achieving SDG 2030 by creating scientific proofs of the best choice among sustainable development projects taking into account the stakeholders’ opinions and applying fuzzy set method. Design/methodology/approach. In the article, the authors used the literature review method in order to support the idea of topicality of sustainable development of enterprises and reveal the high relevance of the study of sustainable d

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Ioannidis, Dimitris, and Dimitra G. Vagiona. "Optimal Wind Farm Siting Using a Fuzzy Analytic Hierarchy Process: Evaluating the Island of Andros, Greece." Sustainability 16, no. 10 (2024): 3971. http://dx.doi.org/10.3390/su16103971.

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In recent decades, fuzzy logic and fuzzy multi-criteria decision-making systems have been applied in several fields. This paper aims to determine the optimal wind farm siting solution in a fuzzy environment. Therefore, the main research question of the present paper is whether and to what extent the uncertainty in the researcher’s judgments affects the ranking of wind farm siting solutions. The fuzzy analytical hierarchy method is applied to an existing case study of wind farm siting on the island of Andros, examining the stability of the final priorities of the alternatives under a regime of

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Mishra, Swagatika, Siba Sankar Mahapatra, and Saurav Datta. "Agility evaluation in fuzzy context: influence of decision-makers’ risk bearing attitude." Benchmarking: An International Journal 21, no. 6 (2014): 1084–119. http://dx.doi.org/10.1108/bij-04-2012-0026.

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Purpose – The purpose of this paper is to investigate the influence of decision-makers’ (DM) risk bearing attitudes and the effect of the decision-making environment on estimating the overall degree of agility of an organization. The present study explores an extended agility model in a specific organization's hierarchy and reflects how decision-making attitudes alter an organizational agility scenario. Design/methodology/approach – The concept of fuzzy logic has been explored in this paper. Based on DMs’ linguistic judgments, a fuzzy appropriateness rating as well as fuzzy priority weights ha

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