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Analysis of collaboration evolution in AHP research: 1982–2018
Bibliometric analysis is effective for evaluating the merits of a given discipline. This study
provides an analysis of collaboration evolution in analytic hierarchy process (AHP) research …
provides an analysis of collaboration evolution in analytic hierarchy process (AHP) research …
A survey and annotated bibliography of multiobjective combinatorial optimization
M Ehrgott, X Gandibleux - OR-spektrum, 2000 - Springer
Der Artikel bietet einen Überblick und eine kommentierte Bibliographie über die Forschung
in multikriterieller kombinatorischer Optimierung (MOCO, multiple objective combinatorial …
in multikriterieller kombinatorischer Optimierung (MOCO, multiple objective combinatorial …
[LIVRO][B] Nonlinear multiobjective optimization
K Miettinen - 1999 - books.google.com
Problems with multiple objectives and criteria are generally known as multiple criteria
optimization or multiple criteria decision-making (MCDM) problems. So far, these types of …
optimization or multiple criteria decision-making (MCDM) problems. So far, these types of …
An AHP decision model for facility location selection
J Yang, H Lee - Facilities, 1997 - emerald.com
Presents an AHP (analytical hierarchy process) decision model for facility location selection
from the view of organizations which contemplate locations of a new facility or a relocation of …
from the view of organizations which contemplate locations of a new facility or a relocation of …
Prioritization of key performance indicators: An integration of analytical hierarchy process and goal setting
A Shahin, MA Mahbod - International Journal of Productivity and …, 2007 - emerald.com
Purpose–The purpose of this paper is to provide an integrated approach that prioritizes
organizational key performance indicators (KPIs) in terms of the criteria of SMART (Specific …
organizational key performance indicators (KPIs) in terms of the criteria of SMART (Specific …
Multiobjective combinatorial optimization—theory, methodology, and applications
M Ehrgott, X Gandibleux - Multiple criteria optimization: State of the art …, 2002 - Springer
This chapter provides an annotated bibliography of multiple objective combinatorial
optimization, MOCO. We present a general formulation of MOCO problems, describe their …
optimization, MOCO. We present a general formulation of MOCO problems, describe their …
Approximative solution methods for multiobjective combinatorial optimization
M Ehrgott, X Gandibleux - Top, 2004 - Springer
In this paper we present a review of approximative solution methods, that is, heuristics and
metaheuristics designed for the solution of multiobjective combinatorial optimization …
metaheuristics designed for the solution of multiobjective combinatorial optimization …
Preference disaggregation and statistical learning for multicriteria decision support: A review
M Doumpos, C Zopounidis - European journal of operational research, 2011 - Elsevier
Disaggregation methods have become popular in multicriteria decision aiding (MCDA) for
eliciting preferential information and constructing decision models from decision examples …
eliciting preferential information and constructing decision models from decision examples …
[LIVRO][B] Linear programming and its applications
HA Eiselt, CL Sandblom - 2007 - books.google.com
Based on earlier work by a variety of authors in the 1930s and 1940s, the simplex method
for solving linear programming problems was developed in 1947 by the American …
for solving linear programming problems was developed in 1947 by the American …
Designing utility-based recommender systems for e-commerce: Evaluation of preference-elicitation methods
S Huang - Electronic Commerce Research and Applications, 2011 - Elsevier
Recommender systems are useful in reducing information overload and improving decision
making. Utility-based recommender systems provide recommendations based on the …
making. Utility-based recommender systems provide recommendations based on the …