Journal ArticleDOI
Fuzzy set theory applications in production management research: a literature survey
Alfred L. Guiffrida,Rakesh Nagi +1 more
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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.read more
Citations
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Journal ArticleDOI
Measuring Loss-Based Process Capability Index and Its Generation with Fuzzy Numbers
TL;DR: Fuzzification of process capability index and its generation is investigated, showing that fuzzy was more sensitive compared with and was increased while the target departs, and variation of fuzzy and consequently its fuzziness were increased.
Journal ArticleDOI
An aggregate production planning model for paint industry in fuzzy environment
TL;DR: The model provides a systematic framework that help decisionmaking to solve APP problems under fuzzy environment, and help decision maker (DM) to modify the the data until a set of satisfactory solution is obtain.
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Consensus-based group decision-making methods with probabilistic dual hesitant fuzzy preference relations and their applications
Journal ArticleDOI
Advanced Fuzzy Logic Control system for Thermal Power Plant
TL;DR: This paper tries to explain fuzzy logic control for AGC and comparing with other controlling methods like PID, Type-1 FLC, where the comparison overshoot, undershoot and settling time in controlling system is calculated.
Journal ArticleDOI
A comparative analysis of surface roughness in robot spray painting using nano paint by Taguchi – fuzzy logic-neural network methods
TL;DR: Taguchi L9 orthogonal array is used to conduct the IRB1410 robot spray painting experiments to investigate the surface characteristics of Cold Rolled close Annealed (CRCA) steel workpiece as mentioned in this paper.
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.