The Experts below are selected from a list of 5031 Experts worldwide ranked by ideXlab platform
Enrique Herreraviedma - One of the best experts on this subject based on the ideXlab platform.
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multiple Attribute strategic weight manipulation with minimum cost in a group decision making context with Interval Attribute weights information
IEEE Transactions on Systems Man and Cybernetics, 2019Co-Authors: Yating Liu, Yucheng Dong, Haiming Liang, Francisco Chiclana, Enrique HerreraviedmaAbstract:In multiple Attribute decision making (MADM), strategic weight manipulation is understood as a deliberate manipulation of Attribute weight setting to achieve a desired ranking of alternatives. In this paper, we study the strategic weight manipulation in a group decision making (GDM) context with Interval Attribute weight information. In GDM, the revision of the decision makers’ original Attribute weight information implies a cost. Driven by a desire to minimize the cost, we propose the minimum cost strategic weight manipulation model, which is achieved via optimization approach, with the mixed 0–1 linear programming model being proved appropriate in this context. Meanwhile, some desired properties to manipulate a strategic Attribute weight based on the ranking range under Interval Attribute weight information are proposed. Finally, numerical analysis and simulation experiments are provided with a twofold aim: 1) to verify the validity of the proposed models and 2) to show the effects of Interval Attribute weights information and the unit cost, respectively, on the cost to manipulate strategic weights in the MADM in a group decision context.
Yang Aiping - One of the best experts on this subject based on the ideXlab platform.
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grey target method for multiple Attribute group decision making with known weight and Interval Attribute value
Chinese Control and Decision Conference, 2013Co-Authors: Dai Wenzhan, Li Jiuliang, Yang AipingAbstract:This paper research on group decision-making with known Weight and Interval Attribute value, by calculating positive and negative off-target distance for each scheme under each decision maker, then weighted to get each scheme's group positive and negative off-target distance. Finally, calculate each scheme's group off-target deviation to measure its preference. This paper proposed a decision-making algorithm based on group off-target deviation, and proved it is effective through an example.
Yating Liu - One of the best experts on this subject based on the ideXlab platform.
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multiple Attribute strategic weight manipulation with minimum cost in a group decision making context with Interval Attribute weights information
IEEE Transactions on Systems Man and Cybernetics, 2019Co-Authors: Yating Liu, Yucheng Dong, Haiming Liang, Francisco Chiclana, Enrique HerreraviedmaAbstract:In multiple Attribute decision making (MADM), strategic weight manipulation is understood as a deliberate manipulation of Attribute weight setting to achieve a desired ranking of alternatives. In this paper, we study the strategic weight manipulation in a group decision making (GDM) context with Interval Attribute weight information. In GDM, the revision of the decision makers’ original Attribute weight information implies a cost. Driven by a desire to minimize the cost, we propose the minimum cost strategic weight manipulation model, which is achieved via optimization approach, with the mixed 0–1 linear programming model being proved appropriate in this context. Meanwhile, some desired properties to manipulate a strategic Attribute weight based on the ranking range under Interval Attribute weight information are proposed. Finally, numerical analysis and simulation experiments are provided with a twofold aim: 1) to verify the validity of the proposed models and 2) to show the effects of Interval Attribute weights information and the unit cost, respectively, on the cost to manipulate strategic weights in the MADM in a group decision context.
Dai Wenzhan - One of the best experts on this subject based on the ideXlab platform.
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grey target method for multiple Attribute group decision making with known weight and Interval Attribute value
Chinese Control and Decision Conference, 2013Co-Authors: Dai Wenzhan, Li Jiuliang, Yang AipingAbstract:This paper research on group decision-making with known Weight and Interval Attribute value, by calculating positive and negative off-target distance for each scheme under each decision maker, then weighted to get each scheme's group positive and negative off-target distance. Finally, calculate each scheme's group off-target deviation to measure its preference. This paper proposed a decision-making algorithm based on group off-target deviation, and proved it is effective through an example.
H W Posamentier - One of the best experts on this subject based on the ideXlab platform.
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application of 3d seismic visualization techniques for seismic stratigraphy seismic geomorphology and depositional systems analysis examples from fluvial to deep marine depositional environments
Geological Society London Petroleum Geology Conference series, 2005Co-Authors: H W PosamentierAbstract:In recent years, 3D seismic has become an essential tool for the interpretation of subsurface stratigraphy and depositional systems. Seismic stratigraphy in conjunction with seismic geomorphology, calibrated by borehole data, has elevated the degree to which seismic data can facilitate geological interpretation. 3D seismic data has enabled interpreters to visualize details of complex depositional systems, which can be incorporated into borehole planning for exploration as well as development needs to improve risk management significantly. Common techniques for geological visualization include (1) imaging stratigraphic horizons, (2) time slicing and flattened time slicing, (3) Interval Attribute analysis, (4) voxbody interpretation and mapping, (5) 3D perspective rendering and (6) opacity rendering. One of the key benefits of modern 3D seismic interpretation is that stratigraphic horizons can be interpreted and horizon Attributes (such as reflection amplitude, dip magnitude, dip azimuth, and curvature) can then be imaged directly in 2D or 3D space. Techniques such as variable illumination can enhance geomorphological interpretations, and, when integrated with stratigraphic analyses, can yield insights regarding distribution of source, seal, and reservoir facies. Stratigraphic Intervals bracketing sections of geological interest can be evaluated for amplitude and frequency content and can contribute to geological interpretations. Time slices and flattened time slices (also referred to as horizon slices) can bring to light map patterns and geological features that other techniques might overlook. Voxel picking can further bring out features of geological interest. This method involves auto-picking of connected voxels of similar seismic character, a technique that can illuminate discrete depositional elements in three dimensions. Similarly, opacity rendering, which makes opaque only those voxels that lie within a certain range of seismic values, can further bring out features of stratigraphic interest. Examples of fluvial, shallow marine, and deep marine depositional environments are shown. A variety of visualization techniques are applied to these examples in an effort to illustrate the variety of interpretation techniques available to the geoscientist. These examples will highlight the integration of seismic stratigraphic and seismic geomorphological analyses essential for maximum benefit to be derived from geological analyses of 3D seismic data.
