✦ LIBER ✦

Modelling stochastic decision systems using dependent-chance programming

✍ Scribed by Baoding Liu; Kakuzo Iwamura

Publisher: Elsevier Science
Year: 1997
Tongue: English
Weight: 604 KB
Volume: 101
Category: Article
ISSN: 0377-2217
DOI: 10.1016/0377-2217(95)00371-1

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A stochastic possibilistic programming m

A stochastic possibilistic programming model for bank hedging decision problems

✍ Young-Jou Lai; Ching-Lai Hwang 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 743 KB

A joint chance-constrained programming m

A joint chance-constrained programming model with row dependence

✍ Tsunemi Watanabe; Hugh Ellis 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 1003 KB

On chance maximization model in fuzzy ra

On chance maximization model in fuzzy random decision systems

✍ Jun Li; Bo Gao 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 746 KB

Dependability modeling of real-time syst

Dependability modeling of real-time systems using stochastic reward nets

✍ Cristian Constantinescu; Kishor Trivedi 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 489 KB

Modeling the operation of multireservoir

Modeling the operation of multireservoir systems using decomposition and stochastic dynamic programming

✍ T.W. Archibald; K.I.M. McKinnon; L.C. Thomas 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 143 KB

An interactive fuzzy satisficing method

An interactive fuzzy satisficing method for multiobjective stochastic linear programming problems using chance constrained conditions

✍ Masatoshi Sakawa; Kosuke Kato 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 178 KB

## Abstract Two major approaches to deal with randomness or ambiguity involved in mathematical programming problems have been developed. They are stochastic programming approaches and fuzzy programming approaches. In this paper, we focus on multiobjective linear programming problems with random var