Update search
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Type
Date
Availability
1-3 of 3
Keywords: Fuzzy logics
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Logistics Information Management (2002) 15 (4): 271–280.
Published: 01 October 2002
.... It is essential that a company is able to utilize its supply chain with the support of a good monitoring scheme. This paper considers a framework of supply chain management embracing the principles of fuzzy logic for analyzing and monitoring performance of suppliers based on the criteria of product quality...
Journal Articles
Logistics Information Management (2001) 14 (5-6): 337–344.
Published: 01 December 2001
... of computer‐aided design, geographical information systems and fuzzy logic. Makes transparent the interrelationship between these applications to the user. This application enables site managers and planners to make strategic decisions about the movement of materials within a site. It allows the rehearsal...
Journal Articles
Logistics Information Management (2001) 14 (5-6): 344–355.
Published: 01 December 2001
... and imprecision often associated with decision variables to be adequately captured. This eliminates the limitations placed by the use of crisp values. Range of preferences. The fuzzy logic approach also allows decision preferences to be expressed using a wider range of options than the conventional...
