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DC Field | Value | Language |
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dc.contributor.author | Agarwal, Manish | - |
dc.date.accessioned | 2018-12-01T04:30:38Z | - |
dc.date.available | 2018-12-01T04:30:38Z | - |
dc.date.issued | 2018-11 | - |
dc.identifier.uri | http://hdl.handle.net/11718/21163 | - |
dc.description | International Journal of Intelligent Systems | en_US |
dc.description.abstract | Attitudinal Choquet integral (ACI) extends Choquetintegral (CI) through a consideration of a decision‐maker’s (DM’s) attitudinal character. In this paper, wegeneralize ACI, and the resulting operator is termed asgeneralized ACI (GACI). GACI adds to the efficacy ofthe ACI in the representation of a DM’s unique andcomplex attitudinal character. It also generates a vastrange of exponential ACI operators, such as harmonicACI, ACI, quadratic ACI, to name a few. We furtherpresent induced GACI to consider additional informa-tion that may be associated with the arguments ofaggregation. The special cases of the proposed operatorsare investigated. The usefulness of the proposedoperators in modelling human decision behavior isshown through a case study. | en_US |
dc.publisher | John Wiley | en_US |
dc.subject | Attitudinal character | en_US |
dc.subject | Choquet integral | en_US |
dc.subject | Compensative | en_US |
dc.subject | Decision analysis | en_US |
dc.title | Generalized attitudinal Choquet integral | en_US |
dc.type | Article | en_US |
Appears in Collections: | Journal Articles |
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File | Description | Size | Format | |
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Aggarwal.pdf Restricted Access | 607.2 kB | Adobe PDF | View/Open Request a copy |
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