Journal ArticleDOI
Fuzzy set theory applications in production management research: a literature survey
Alfred L. Guiffrida,Rakesh Nagi +1 more
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This paper provides a survey of the application of fuzzy set theory in production management research, and identifies selected bibliographies on fuzzy sets and applications.Abstract:
Fuzzy set theory has been used to model systems that are hard to define precisely. As a methodology, fuzzy set theory incorporates imprecision and subjectivity into the model formulation and solution process. Fuzzy set theory represents an attractive tool to aid research in production management when the dynamics of the production environment limit the specification of model objectives, constraints and the precise measurement of model parameters. This paper provides a survey of the application of fuzzy set theory in production management research. The literature review that we compiled consists of 73 journal articles and nine books. A classification scheme for fuzzy applications in production management research is defined. We also identify selected bibliographies on fuzzy sets and applications.read more
Citations
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Journal ArticleDOI
Complex fermatean fuzzy N-soft sets: a new hybrid model with applications
TL;DR: In this article , complex Fermatean fuzzy N-soft set (CFFNSfS) is proposed to handle two-dimensional information related to the degree of satisfaction and dissatisfaction implicit in the nature of human decisions.
Invited Review Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge
TL;DR: In this article, an overview of fuzzy set-based approaches to scheduling is proposed, emphasizing two distinct uses of fuzzy sets: representing preference profiles and modelling uncertainty distributions, and when flexible constraints and uncertain processing times are to be jointly considered, the use of possibilistic decision theory leads to the computation of robust schedules.
Journal ArticleDOI
An EOQ model with fuzzy demand and learning in fuzziness
TL;DR: It is shown that learning in fuzziness improves the information base for future orders by reducing uncertainty, which favours delivering demand in smaller lots which are delivered more frequently, as the learning rate increases and fuzziness in demand reduces.
Journal ArticleDOI
Measuring process capability index Cpmk with fuzzy data and compare it with other fuzzy process capability indices
TL;DR: In order to find the membership function of process capability index Cpmk, the α-cuts of the fuzzy observation were employed and showed that fuzzy C~ pmk has the advantages of both C ~ pk and C ~ pm.
Journal ArticleDOI
Fuzzy Membrane Computing: Theory and Applications
TL;DR: A comprehensive survey of theoretical developments and various applications of fuzzy membrane computing, and sketches future research lines are provided.
References
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Book
Fuzzy sets
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Book
Possibility Theory: An Approach to Computerized Processing of Uncertainty
Didier Dubois,Henri Prade +1 more
TL;DR: This chapter discusses the use of Fuzzy Sets for the Evaluation and Ranking of Objects, a Quantitative Approach to Multiaspect Choice, and some of the techniques used in this approach.
Book
Fuzzy Mathematical Models in Engineering and Management Science
A. Kaufmann,Madan M. Gupta +1 more
TL;DR: This paper presents a general view about the Fuzzification of Models in Engineering and Management Science, and some examples of Fuzzy Set Theory and System Modelling, as well as some of its applications in Transportation Optimization and Decision Making.
Journal ArticleDOI
Forecasting enrollments with fuzzy time series—part II
Qiang Song,Brad S. Chissom +1 more
TL;DR: The forecast of the enrollments of the University of Alabama is carried out and a fuzzy time series model is developed using historical data, which is tested on the basis of its robustness andvantages and problems.
Book
Fuzzy Multiple Objective Decision Making: Methods And Applications
Lai Ching,Abu Syed Md Masud +1 more
TL;DR: In this paper, the authors present a survey of Fuzzy multiple objective decision-making techniques and their application in various aspects of the real world, such as: 1.1 Introduction.2 Goal Programming.