Yoon, P. K. und C.-L. Hwang (1995). Multiple Attribute Decision Making -- An Introduction, Sage.  Home/Search Document Not in Database Summary Related Articles Check |
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The Aeronautical Data Link: Taxonomy, Architectural Analysis.. - Morris, Goode (2002) (Correct)
....Regardless of where trade off analysis is implemented in the decision framework, its application is integral to the data link evaluation process. Some of the techniques used for trade off analysis include Saaty s Analytical Hierarchy Process (AHP) 8] multi attribute utility theory (MAUT) [9], iterative techniques (multi objective programming, goal programming, and Pareto optimality) and outranking techniques. Trade off analysis is covered in the general area of multicriteria decision analysis (MCDA) 10] An interesting example of trade off analysis applied to data link architecture ....
Yoon, K., Hwang, C., Multiple Attribute Decision Making: an Introduction, Sage Pub., 1995.
Protocols and Strategies for Automated Multi-Attribute.. - David, Azoulay-Schwartz, .. (2002) (3 citations) (Correct)
....who decides to send a bid, has to specify the full configuration it offers. Each buyer agent and each seller agent is characterized by a utility function that describes its preferences. The multi attribute utility functions we refer to are based on the Simple Additive Weighting (SAW) method [13]. A utility or a score in the SAW method is obtained by adding the contributions of each attribute. There are other methods for multi attribute utility functions (e.g. multiplying the contributions of the various attributes) However, the SAW method suits the examples (e.g. ILSC domain or ....
Yoon, K. and Hwang, C. Multiple attribute decision making: an introduction. Thousand Oaks: Sage. 1995.
Bidders' Strategy for Multi-Attribute Sequential English - David, Azoulay-Schwartz (2003) (1 citation) (Correct)
....agent, who decides to send a bid, has to specify the full configuration it offers. Each buyer agent and each seller agent is characterized by a utility function that describes its preferences. The multi attribute utilityfunctions we refer to are based on the Simple Additive Weighting (SAW) method [16]. A utility or a score in the SAW method is obtained by adding the contributions of each attribute. There are other methods for obtaining multi attribute utility functions (e.g. multiplying the contributions of the various attributes) However, the SAW method suits the examples (e.g. ILSC domain ....
Yoon, K. and Hwang, C. Multiple attribute decision making: an introduction. Thousand Oaks: Sage. 1995.
Bidders' Strategy for Multi-Attribute Sequential.. - David.. (2003) (1 citation) (Correct)
....who decides to send a bid, has to specify the full configuration it offers [5,6] Each buyer agent and each seller agent is characterized by a utility function that describes its preferences. The multi attribute utilityfunctions we refer to are based on the Simple Additive Weighting (SAW) method [16]. A utility or a score in the SAW method is obtained by adding the contributions of each attribute. The utility function of the buyer associates a value with each bid, which is the sum of the buyers level of satisfaction from the various attributes values. The utility function of each seller ....
Yoon, K. and Hwang, C. Multiple attribute decision making: an introduction. Thousand Oaks: Sage. 1995.
The Influence of Social Norms and Social Consciousness.. - Grosz, Kraus.. (2000) (Correct)
....agent s utility in monetary terms, using the non monetary measure described above is simpler and more intuitive. And although the monetary and non monetary elements of an agent s utility have different units, the various factors can be combined using a technique from multiattribute decision making [45] described below. 4.5 Combining the factors To compare the overall utility of an agent s options, the CI and FEI values for each option are combined to give a total estimated income (TEI) Next, the TEI and brownie point (BP) values are normalized: the default and no default TEI values (TEI def ....
Yoon, K.P. and Hwang, C.-L. 1995. Multiple Attribute Decision-Making: An Introduction. Sage University Papers, Series on Quantitative Applications in the Social Sciences, vol. 104.
Creating Socially Conscious Agents: Decision-Making in the Context .. - Glass (1999) (1 citation) (Correct)
.... into account three factors: current income (CI) future expected income (FEI) which is combined with CI to form total expected income (TEI) and good guy stature in the community (BP ) To combine these factors into a single utility function, I use an approach from multiattribute decision making (Yoon and Hwang, 1995). First, since TEI is in monetary units and BP is not, I normalize both factors using linear normalization so that they can be combined without unit differences unexpectedly giving more weight to 14 one than the other. In this method of normalization, each factor is divided by the maximum of the ....
Yoon, K.P. and Hwang, C.-L. 1995. Multiple Attribute Decision-Making: An Introduction. Sage University papers, Series on Quantitative Applications in the Social Science, vol. 104. 32
Socially Conscious Decision-Making - Glass, Grosz (11 citations) (Correct)
....account the three factors just described: current income (CI) future expected income (FEI) and good guy stature in the community (BP ) CI and FEI have been aggregated to form TEI . To combine these factors into a single utility function, we use an approach from multi attribute decision making (Yoon and Hwang, 1995). First, since TEI is in monetary units and BP is not, both factors are normalized using linear normalization so that they can be combined without unit differences unexpectedly giving more weight to one than the other. In this method of normalization, each factor is divided by the maximum of the ....
Yoon, K.P. and Hwang, C.-L. 1995. Multiple Attribute Decision-Making: An Introduction. Sage University papers, Series on Quantitative Applications in the Social Science, vol. 104. 13
Temporal Agent Programs - Dix, Kraus, Subrahmanian (2000) (1 citation) (Correct)
.... the SCP (i.e. e ect on ranking and subsequent task assignment) and loss of good guy stature in the community independent of e ect on income (BP) For each option, it combines the three factors into an expected utility value using normalization methods of multiple attribute decision making theory (Yoon and Hwang 1995) and choose the option with the highest expected utility. SPIRE is a simulation environment and only simulates agent decision making, but does not provide tools for creating and deploying such agents. In this section we demonstrate how such agents can be programmed using tap. We associate with ....
....CI; FEI; BP) Real combine factors combines the three factors that the agent should take into consideration when making a decision, and computes the expected utility of the agents from doing A. The combination is done using normalization methods of multiple attribute decision making theory (Yoon and Hwang 1995). We associate with each agent, an additional specialized package called schedule that supports the code call listed below and others that determine its schedule. schedule : check(T) Actions check returns the action (to be precise the name of an action together with its arguments) that the ....
Yoon, K. and C. Hwang (1995). Multiple attribute decision making: an introduction. Thousand Oaks: Sage.
Temporal Agent Programs - Dix, Kraus, Subrahmanian (2000) (1 citation) (Correct)
.... the SCP (i.e. e ect on ranking and subsequent task assignment) and loss of good guy stature in the community independent of e ect on income (BP) For each option, it combines the three factors into an expected utility value using normalization methods of multiple attribute decision making theory (Yoon and Hwang 1995) and choose the option with the highest expected utility. SPIRE is a simulation environment and only simulates agent decision making, but does not provide tools for creating and deploying such agents. In this section we demonstrate how such agents can be programmed using tap. We associate with ....
....CI; FEI; BP) Real combine factors combines the three factors that the agent should take into 39 consideration when making a decision, and computes the expected utility of the agents from doing A. The combination is done using normalization methods of multiple attribute decision making theory (Yoon and Hwang 1995). We associate with each agent, an additional specialized package called schedule that supports the code calls listed below that determine its schedule. schedule : check(T) Actions check returns the action (to be precise the name of an action together with its arguments) that the agent is ....
Yoon, K. and C. Hwang (1995). Multiple attribute decision making: an introduction. Thousand Oaks: Sage.
Temporal Agent Programs - Dix, Kraus, Subrahmanian (2000) (1 citation) (Correct)
.... the SCP (i.e. e#ect on ranking and subsequent task assignment) and loss of good guy stature in the community independent of e#ect on income (BP) For each option, it combines the three factors into an expected utility value using normalization methods of multiple attribute decision making theory (Yoon and Hwang 1995) and choose the option with the highest expected utility. SPIRE is a simulation environment and only simulates agent decision making, but does not provide tools for creating and deploying such agents. In this section we demonstrate how such agents can be programmed using tap. We associate with ....
....CI, FEI, BP) # Real combine factors combines the three factors that the agent should take into consideration when making a decision, and computes the expected utility of the agents from doing A. The combination is done using normalization methods of multiple attribute decision making theory (Yoon and Hwang 1995). We associate with each agent, an additional specialized package called schedule that supports the code calls listed below that determine its schedule. schedule : check(T) # Actions check returns the action (to be precise the name of an action together with its arguments) that the agent is ....
Yoon, K. and C. Hwang (1995). Multiple attribute decision making: an introduction.
Socially Conscious Decision-Making - Glass, Grosz (1999) (11 citations) (Correct)
....account the three factors just described: current income (CI) future expected income (FEI) and good guy stature in the community (BP ) CI and FEI have been aggregated to form TEI. To combine these factors into a single utility function, we use an approach from multi attribute decision making [22]. First, since TEI is in monetary units and BP is not, both factors are normalized using linear normalization so that they can be combined without unit di erences unexpectedly giving more weight to one than the other. In this method of normalization, each factor is divided by the maximum of the ....
Yoon, K.P. and Hwang, C.-L. 1995. Multiple Attribute Decision-Making: An Introduction. Sage University papers, Series on Quantitative Applications in the Social Science, vol. 104.
A Comprehensive Framework for Architecture Evaluation - Briand, Carrière, Kazman, Wüst (1998) (Correct)
....is a means of using the output of the impact quantification models for making decisions about the architecture. The COMPARE framework will provide instructions on how to build and formalize such a model, principally by appealing to the relevant literature on multi criteria decision making (e.g. [YH95]) An Example Each of these activities and their associated artifacts will now be discussed via an example. The example is that of a simple interactive program an on line calendar with a graphical user interface. We will consider this system with respect to a single change as a means of ....
K. P. Yoon, C-L. Hwang, Multiple Attribute Decision Making: An Introduction, Sage Publications, 1995.
Grtner Johannes, Hrwein Karin Wahl Sabine.. - Innovative Shift-Rotas.. (2001) Self-citation (Und) (Correct)
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Yoon, P. K. und C.-L. Hwang (1995). Multiple Attribute Decision Making -- An Introduction, Sage.
Adaptive Robotic Communication Using Coordination Costs.. - Rosenfeld, Kaminka.. (2006) (Correct)
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Yoon, K., and Hwang, C. 1995. Multiple attribute decision making: an introduction. Thousand Oaks: Sage: Prentice Hall.
Adaptive Robotic Communication Using Coordination Costs - Rosenfeld, Kaminka, Kraus (2006) (Correct)
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K. Yoon and C. Hwang. Multiple attribute decision making: an introduction. Prentice Hall, Thousand Oaks: Sage, 1995.
Existence and Construction of Weight-Set for Satisfying.. - Zhi-Ping Fan And (Correct)
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Yoon, K.P. and Hwang, C.L. (1996) Multiple Attribute Decision Making - An Introduction, Sage University Papers, Sage QASS Series, Sage Publications.
Dynamic Configuration Of Resource-Aware Services - Poladian, Garlan, Shaw, Sousa (2004) (3 citations) (Correct)
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Yoon, K. Paul and Hwang, Ching-Lai. Multiple Attribute Decision Making: An Introduction, Sage Publications, 1995.
The Design of the Multi-Attribute English Auction with a.. - This Work Is (Correct)
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Yoon, K. and Hwang, C. Multiple attribute decision making: an introduction. Thousand Oaks: Sage. 1995.
Efficient Delivery of Web Services - Ouzzani (2004) (1 citation) (Correct)
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K. Yoon and C. Hwang. Multiple Attribute Decision Making: An Introduction. Thousand Oaks: Sage, Thousand Oaks, California, USA, January 1995.
The Influence of Social Norms and Social Consciousness.. - Grosz, Kraus.. (2002) (Correct)
No context found.
Yoon, K.P. and Hwang, C.-L. 1995. Multiple Attribute Decision-Making: An Introduction. Sage University Papers, Series on Quantitative Applications in the Social Sciences, vol. 104.
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