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EOR
2006
104views more  EOR 2006»
15 years 3 months ago
Link function selection in stochastic multicriteria decision making models
A stochastic formulation of the Analytic Hierarchy Process (AHP) using an approach based on Bayesian categorical data models has been developed. However, in categorical data model...
Eugene D. Hahn
FSKD
2007
Springer
126views Fuzzy Logic» more  FSKD 2007»
15 years 10 months ago
Rough Set Model Selection for Practical Decision Making
One of the challenges a decision maker faces is choosing a suitable rough set model to use for data analysis. The traditional algebraic rough set model classifies objects into th...
Joseph P. Herbert, Jingtao Yao
IPSN
2005
Springer
15 years 9 months ago
The sensor selection problem for bounded uncertainty sensing models
We address the problem of selecting sensors so as to minimize the error in estimating the position of a target. We consider a generic sensor model where the measurements can be in...
Volkan Isler, Ruzena Bajcsy
SIGIR
2012
ACM
13 years 6 months ago
An uncertainty-aware query selection model for evaluation of IR systems
We propose a mathematical framework for query selection as a mechanism for reducing the cost of constructing information retrieval test collections. In particular, our mathematica...
Mehdi Hosseini, Ingemar J. Cox, Natasa Milic-Frayl...
ICSOC
2010
Springer
15 years 2 months ago
A Requirement-Centric Approach to Web Service Modeling, Discovery, and Selection
Service-Oriented Computing (SOC) has gained considerable popularity for implementing Service-Based Applications (SBAs) in a flexible and effective manner. The basic idea of SOC i...
Maha Driss, Naouel Moha, Yassine Jamoussi, Jean-Ma...