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Journal ArticleDOI

Fuzzy set theory applications in production management research: a literature survey

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TLDR
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.

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Book ChapterDOI

Wireless Sensors’ Location for Smart Transportation in the Context of Industry 4.0

TL;DR: In this article , the authors proposed different linear formulations for the wireless sensors location problems in the context of Industry 4.0 and validated the presented programs are validated by solving small and medium data set instances using CPLEX solver.

Production, Manufacturing and Logistics A possibilistic decision model for new product supply chain design

Juite Wang, +1 more
TL;DR: In this article, the authors developed a possibilistic SC configuration model for new products with unreliable or unavailable SC statistical data and applied a genetic algorithm approach to determine near-optimal solutions.
Journal Article

Management of Transaction of Perishable Vegetable/Fruits

TL;DR: In this paper, with the help of survey method attempt was made to verify whether producer are gaining large share of profit and having complete control over transactions, and the results showed that producer are having complete power over transactions.
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, +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

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

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

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.