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In multi-person decision process, the final decision is synthesized from each individual's options on the multiple criteria through Multi-criterion Group Decision Making, which is a kind of process oriented social activity including persons' subjective judgment reflected in their linguistic estimation. Though it draws on the wisdom of the mass, its shortcoming of time and resource consuming is significant...
Multiple attribute decision making (MADM) is an important part of modern decision science. It has been extensively applied to various areas such as society, economics, military, management, etc., and has been receiving more and more attention over the last decades. The paper transforms a MADM problem with triangular-fuzzy-valued weight into a MADM problem with triangular-fuzzy-valued indexes by introducing...
The evidential reasoning (ER) approach is a method for multiple attribute decision analysis (MADA) under uncertainties. It improves the insightfulness and rationality of a decision making process by using a belief decision matrix (BDM) for problem modelling and the Dempster-Shafer (D-S) theory of evidence for attribute aggregation. While in reality, several types of uncertainties such as fuzziness...
E-business enterprises are faced with many multiple criteria decision making (MCDM) problems, e.g. supplier selection is essentially a MCDM problem. And many complex MCDM problems maybe involve with various types of uncertainties, in such circumstance one is likely to characterize uncertain information as interval data. In this paper a new decision making method based on combining interval data is...
We focus on an opportunistic communication system consisting of multiple independent channels with time-varying states. With limited sensing, a user can only sense and access a subset of channels and accrue rewards determined by the state of the sensed channels. We formulate the problem of optimal sequential channel probing as a restless multi-armed bandit process, for which a powerful index policy-Whittle's...
The conventional analytic hierarchy process (AHP) has the drawback of its invariable weights system (IWS) and the composite ranking approaches based on IWS, incapable of reflecting intrinsic characteristics of complex evaluation issues, such as nonlinearity, emergence, etc. To overcome the above drawback, with the idea of weight varying adopted, an improved ranking approach to AHP alternatives based...
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