An intuitionistic fuzzy grey model for selection problems with an application to the inspection planning in manufacturing firms

Autor: Seyed Meysam Mousavi, Shirin Mirdamadi, Reza Tavakkoli-Moghaddam, Jean-Yves Dantan, Ali Siadat
Přispěvatelé: Shahed University [Téhéran], Laboratoire de Conception Fabrication Commande (LCFC), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Université de Lorraine (UL), University of Tehran
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Intuitionistic fuzzysets(IFSs)
0209 industrial biotechnology
Operations research
Computer science
Grey relational analysis
Compromise
media_common.quotation_subject
Automotive industry
Inspection planning
02 engineering and technology
computer.software_genre
Manufacturing firms
Entropy (classical thermodynamics)
020901 industrial engineering & automation
Artificial Intelligence
0202 electrical engineering
electronic engineering
information engineering
Entropy (information theory)
Electrical and Electronic Engineering
Entropy (energy dispersal)
Entropy (arrow of time)
media_common
Multi-attributes analysis
business.industry
Entropy (statistical thermodynamics)
Mécanique [Sciences de l'ingénieur]
[SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]
Control and Systems Engineering
020201 artificial intelligence & image processing
Data mining
business
computer
Decision model
Entropy (order and disorder)
Zdroj: Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence, Elsevier, 2015, 39, pp.157-167. ⟨10.1016/j.engappai.2014.12.004⟩
ISSN: 0952-1976
DOI: 10.1016/j.engappai.2014.12.004⟩
Popis: International audience; Most of complex selection problems in real-life applications are considered under multiple conflicting attributes formanufacturing firms. The appropriate selection plays an important role in the firm's performance from the tactical and operational viewpoints. The classical methods for the selection problems inmanufacturing firms are in adequate to deal with uncertainties ,including insufficiency in information availability and the imprecise or vague nature in experts 'judgments and preferences.To overcome these difficulties, this paper introduces a novel distance-based decision model for the multi-attributes analysis by considering the concepts of intuitionistic fuzzy sets (IFSs), grey relations and compromise ratio approaches .A weighting method for the attributes is first developed based on a generalized version of the entropy and IFSs along with experts 'judgments. Then,a new grey relational analysis is introduced to analyze the extent of connections between two potential scenarios by an intuitionistic fuzzy distance measurement. Finally,a new intuitionistic fuzzy compromise ratio index to prioritize the scenarios is proposed by considering the weight of the strategy for the maximum group utility inintuitionistic fuzzy grey environment.The feasibility and practicability of the proposed distance-based decision model is illustrated in detail,and it is implemented in a real case study to the inspection planning for the oil pump housing from Renault automobile manufacturing.
Databáze: OpenAIRE
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