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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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Journal ArticleDOI

Performance assessment of multi-input-single-output (MISO) production process using transfer function and fuzzy logic: A case study of soap production

TL;DR: In this paper, an improved and novel method of assessing the performance of multi input single output (MISO) processes, as typified by soap production process, was studied, which involves the...

Review on Data-based Decision Making Methodologies

TL;DR: In this paper, the authors reviewed the prevalent data-based decision-making methodologies from three aspects based on the characteristics of the considered decision problems: classiflcation methodology, decision analysis methodology, and optimization methodology.
Journal ArticleDOI

STEP implementation of imperfect EXPRESS model in fuzzy object-oriented databases

TL;DR: This paper focuses on extending the parts of EXPRESS related to the aspects of database modeling with fuzzy sets and possibility distributions, and implementing such fuzzy EXPRESS models with databases.
Journal ArticleDOI

A modular fuzzy inference system approach in integrating qualitative and quantitative analysis of store image

TL;DR: A fuzzy inference system is proposed as an alternative approach to handle effectively the impreciseness and uncertainty that are normally found in store image selection processes and the proposed decision-making model is application to modified stimulus–organism–response (S–O–R) framework for integrating qualitative and quantitative analysis.
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.