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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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Proceedings ArticleDOI

An emergency routing model based on fuzzy road connectivity

TL;DR: A routing model with random probability for emergency rescue center is proposed with utilization of the theory of uncertain programming with fuzzy probability, the uncertain fuzzy random probability simulation, Bellman-ford algorithm and relaxation technique are used to solve the model.
Book ChapterDOI

Developing Customer Information System Using Fuzzy Query and Cluster Analysis

TL;DR: A method integrating cluster analysis with linguistic variables in the context of fuzzy query logistics is proposed, which is expected to decrease total execution time and to increase the practicability with the feature of customer information cluster analysis.
Proceedings ArticleDOI

A single machine preemptive scheduling problem with arbitrary release dates and fuzzy due dates

TL;DR: The objective of the problem is to find an optimal schedule which maximizes the minimal grade of satisfaction of jobs completion times with respect to fuzzy due dates, and an O(n2) algorithm is presented.
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.