Results 181 to 190 of about 44,266 (240)
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An MCDM approach to portfolio optimization
European Journal of Operational Research, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ehrgott, Matthias +2 more
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1983
Multiple Criteria Decision Methods (MCDM) have grown rapidly over the past few years, and we are faced with a plethora of approaches. However, there has been little application in real life. Most of the methods are very mathematical, and assure that the data is given. In this paper we take a look at the data generated. Using one method of MCDM, in each
A. G. Lockett, B. Hetherington
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Multiple Criteria Decision Methods (MCDM) have grown rapidly over the past few years, and we are faced with a plethora of approaches. However, there has been little application in real life. Most of the methods are very mathematical, and assure that the data is given. In this paper we take a look at the data generated. Using one method of MCDM, in each
A. G. Lockett, B. Hetherington
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1976
Only the published works directly related to Multiple Criteria Decision Making are included. Intentionally excluded are the works dealing with multidimensional scaling and conjoint measurement, multiple cues modeling of human judgment, multiattribute attitude models of consumer behavior, statistical decision theory, and similar areas deserving ...
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Only the published works directly related to Multiple Criteria Decision Making are included. Intentionally excluded are the works dealing with multidimensional scaling and conjoint measurement, multiple cues modeling of human judgment, multiattribute attitude models of consumer behavior, statistical decision theory, and similar areas deserving ...
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1987
In the last twenty years hospitals have developed into cost and investment intensive service enterprises confronted with a rising pressure of costs. This applies correspondingly to the diagnostics being of central significance to the service production in hospitals.
Günter Fandel, Holger Hegemann
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In the last twenty years hospitals have developed into cost and investment intensive service enterprises confronted with a rising pressure of costs. This applies correspondingly to the diagnostics being of central significance to the service production in hospitals.
Günter Fandel, Holger Hegemann
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1999
Stability and sensitivity analysis is both theoretically and practically interesting and important in optimization and decision making. In this chapter we will explain several approaches, though limited, to stability and sensitivity analysis in MCDM.
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Stability and sensitivity analysis is both theoretically and practically interesting and important in optimization and decision making. In this chapter we will explain several approaches, though limited, to stability and sensitivity analysis in MCDM.
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1997
Looking in the past one can trace the first origin of MCDM in economical research related to the field of the utility theory [l].That research gave a foundation to the notion of a "rational man" making the best economical decisions. The second origin of MCDM is the field of operation research [2].
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Looking in the past one can trace the first origin of MCDM in economical research related to the field of the utility theory [l].That research gave a foundation to the notion of a "rational man" making the best economical decisions. The second origin of MCDM is the field of operation research [2].
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1997
This paper discusses challenges and opportunities facing the multiple criteria decision making (MCDM) researchers. It reviews some of them and presents the author’s view regarding possible courses of action.
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This paper discusses challenges and opportunities facing the multiple criteria decision making (MCDM) researchers. It reviews some of them and presents the author’s view regarding possible courses of action.
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Random Sampling Approach to MCDM
1981The use of the “better than most” (BTM) approach to solve mathematical programming problems was described in an earlier paper. The essence of the BTM approach is that it allows the analyst to formulate problems more realistically because he is not constrained by the necessity of formulating the problem in a way that will lead to an “optimal” solution ...
Sanford Baum +2 more
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2003
Data Envelopment Analysis (DEA) introduces a model for weights determination maximizing efficiency of the decision-making units. The primary focus of the DEA model is to compare decision-making units (alternatives) in terms of their efficiency in converting inputs into outputs.
Serafim Opricovic, Gwo-Hshiung Tzeng
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Data Envelopment Analysis (DEA) introduces a model for weights determination maximizing efficiency of the decision-making units. The primary focus of the DEA model is to compare decision-making units (alternatives) in terms of their efficiency in converting inputs into outputs.
Serafim Opricovic, Gwo-Hshiung Tzeng
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