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Convex contractive interval linear programming for...
Journal article

Convex contractive interval linear programming for resources and environmental systems management

Abstract

It is likely that the most reliable estimation of system uncertainty in resources and environmental systems management (RESM) is a value range with an unknown distribution. Stochastic programming would be challenged by distortion of the original uncertain information through fabricating an inexistent probabilistic distribution function. Instead, interval linear programming (ILP), i.e. a synthesis of interval-set coefficients and the …

Authors

Cheng G; Huang G; Dong C

Journal

Stochastic Environmental Research and Risk Assessment, Vol. 31, No. 1, pp. 205–224

Publisher

Springer Nature

Publication Date

January 2017

DOI

10.1007/s00477-015-1187-1

ISSN

1436-3240