Results 261 to 270 of about 24,275 (291)

Fuzzy compromise programming for group decision making

IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2003
A multicriteria technique named fuzzy compromise programming is combined with a methodology known as group decision making under fuzziness to come up with a new technique that supports decision making with multiple criteria and multiple participants (or experts).
P. Prodanovic, Slobodan P. Simonovic
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Fuzzy compromise programming with precedence order in the criteria

Applied Mathematics and Computation, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
G. G. Merino, D. D. Jones, D. L. Clements, D. Miller   +3 more
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Compromise Programming and Utility Functions

2014
Proposed in the last decades of the twentieth century, the Compromise Programming (CP) model assumes that the decision maker looks for a compromise between objectives of different character, financial, ethical or others. As described by CP, the decision maker has in mind an ideal point, which is a basket containing the best feasible level of each ...
Enrique Ballestero, Ana Garcia-Bernabeu
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A COMPROMISE PROGRAMMING APPROACH TO MULTIOBJECTIVE MARKOV DECISION PROCESSES

International Journal of Information Technology & Decision Making, 2013
A Markov decision process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagent problems in which the value of a decision must be evaluated according to several viewpoints, sometimes conflicting.
Wlodzimierz Ogryczak, Patrice Perny, Paul Weng   +2 more
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Portfolio selection on the Madrid Exchange: a compromise programming model

International Transactions in Operational Research, 2003
As a contribution to portfolio selection analysis, we develop a compromise programming approach to the investor's utility optimum on the Madrid Online Market. This approach derives from linkages between utility functions under incomplete information, Yu's compromise set, and certain biased sets of portfolios on the efficient frontier.
Ballestero, E., Plà-Santamaría, D.
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Compromising Compliance? The IRS Offer in Compromise Program and Opportunities for Reform

SSRN Electronic Journal, 2016
Internal Revenue Code section 7122 provides that “the Secretary may compromise any civil or criminal case arising under the internal revenue laws . . . .” This simple language supplies a statutory hook for the Internal Revenue Service’s (IRS’s) “Offer in Compromise” (OIC) program, one of the most important collection alternatives available for ...
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Compromising Solution of Geometric Programming Problem with Bounded Parameters

Journal of the Operations Research Society of China, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jana, Mrinal, Panda, Geetanjali
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Quality Utility: A Compromise Programming Approach to Robust Design

Volume 2: 24th Design Automation Conference, 1998
Abstract In robust design, associated with each quality characteristic, the design objective often involves multiple aspects such as “bringing the mean of performance on target” and “minimizing the variations”. Current ways of handling these multiple aspects using either the Taguchi’s signal-to-noise ratio or the weighted-sum method are ...
W. Chen, M. M. Wiecek, J. Zhang
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Compromise programming: Non-interactive calibration of utility-based metrics

European Journal of Operational Research, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kanellopoulos, A., Gerdessen, J.C., Claassen, G.D.H.   +2 more
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Use of the displaced worst compromise in interactive multiobjective programming

IEEE Transactions on Systems, Man, and Cybernetics, 1988
The development and application of an interactive multiple-objective linear programming algorithm are considered. The displaced worst compromise is used as a reference point, to select the most preferred decision alternative. This point represents the undesired target values, which a decision-maker would prefer to avoid.
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