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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An extension of fuzzy P-control chart based on -level fuzzy midrange
TL;DR: A new fuzzy control chart for monitoring attribute quality characteristics based on α-level fuzzy midrange approach is developed and the performance and comparative results are measured in terms of average run length (ARL) by Mont Carlo simulation.
Proceedings ArticleDOI
A GA-based fuzzy resource leveling optimization for helicopter maintenance activity
Malek Masmoudi,Alain Haït +1 more
TL;DR: A generalization of the genetic algorithm for solving project scheduling problem under time uncertainties within resource leveling technique is presented, which consists of handling fuzzy time parameter and fuzzy resource distribution instead of crisp ones.
Proceedings ArticleDOI
Fuzzy-Logic-based integration of qualitative uncertainties into monetary factory-evaluations
TL;DR: This paper presents an approach on how to integrate both qualitative and quantitative uncertainties and their dependencies into a monetary evaluation method for investments in factories through the use of a Fuzzy-Evaluation-Net, which is similar to the structure of Artificial-Neural-Networks (ANNs).
Physical Planning and Management of Modern Health Care Facilities in the Rural Area of Ondo State, Nigeria
TL;DR: A Thesis in the Department of Urban and Regional Planning Submitted to the Faculty of the Social Sciences in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy (Ph.D) the University of Ibadan.
Journal ArticleDOI
Swarm lexicographic goal programming for fuzzy open shop scheduling
TL;DR: Experimental results show that this goal programming model based on lexicographic multiobjective optimisation of both makespan and due-date satisfaction achieves as good results as single-objective algorithms for the objective with the highest priority, while greatly improving on the second objective.
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.