A new method based on fuzzy logic to evaluate the contract service provider performance

This paper puts forward a fuzzy inference system for evaluating the service quality performance of service contract providers. An application service provider (ASP) model for computerized maintenance management was used in establishing common performance indicators of the quality of service. This mo...

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Autores:

Tipo de recurso:

Fecha de publicación:

2008

Institución:

Universidad del Rosario

Repositorio:

Repositorio EdocUR - U. Rosario

Idioma:

eng

OAI Identifier:

oai:repository.urosario.edu.co:10336/22395

Acceso en línea:

https://doi.org/10.1080/03091900701860277
https://repository.urosario.edu.co/handle/10336/22395

Palabra clave:

Arsenic compounds
Contracts
Cost reduction
Fuzzy inference
Fuzzy logic
Fuzzy systems
Maintenance
Application service provider (ASP)
Computerized maintenance
Contract service providers
Fuzzy Inference System (FIS)
Performance indicators
Service contracting
Service quality performance
UK Ltd
(CO)
Quality of service
Article
Biomedical engineering
Computer aided design
Cost benefit analysis
Fuzzy logic
Health care facility
Hospital management
Job performance
Quality control
Quantitative analysis
Scoring system
Worker
Artificial Intelligence
Contract Services
Decision Support Techniques
Fuzzy Logic
Outsourced Services
Program Evaluation
Clinical engineering
Fuzzy logic
Service contract management
Technology management

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