Research on Influencing Factors of Information Dissemination Based on User Preference

The rapid development of the Intemet makes the social network of information dissemination has undergone tremendous changes. Based on the introduction of social network information dissemination mode, this paper analyzes the influencing factors of information dissemination, establishes the user preference model through CP-nets tool, and combines the AHP principle to mine the user＇s preference order, and obtain the user＇s optimal preference feature Portfolio, and finally collect the user in the microblogging platform in the historical behavior data. the use of NetLogo different users of information dissemination decision to predict.

Two-Stage Interactive Multi-Objective Decision-Making Method Based on the Satisfactoriness Criterion

In this paper, for multi objective decision making, the defects on the commonly used interactive methods based on the satisfactoriness criterion is studied. Then a class of two stage interactive method based on the satisfactoriness criterion is proposed for improvement with the satisfactoriness criterion being determined through the collection of the decision makers preference information. An application example is presented for illustration of applicability of the method.

Interactive Evolutionary Multi-Objective Optimization Algorithm Using Cone Dominance

As the number of objectives increases,the performance of the Pareto dominance-based Evolutionary Multi-objective Optimization( EMO) algorithms such as NSGA-II,SPEA2 severely deteriorates due to the drastic increase in the Pareto-incomparable solutions. We propose a sorting method which classifies these incomparable solutions into several ordered classes by using the decision maker's( DM) preference information.This is accomplished by designing an interactive evolutionary algorithm and constructing convex cones. This method allows the DMs to drive the search process toward a preferred region of the Pareto optimal front. The performance of the proposed algorithm is assessed for two,three,and four-objective knapsack problems. The results demonstrate the algorithm ' s ability to converge to the most preferred point. The evaluation and comparison of the results indicate that the proposed approach gives better solutions than that of NSGA-II. In addition,the approach is more efficient compared to NSGA-II in terms of the number of generations required to reach the preferred point.

Methylprednisolone for acute spinal cord injury: an increasingly philosophical debate

Following publication of NASCIS Ⅱ, methylprednisolone sodium succinate（MPSS） was hailed as a breakthrough for patients with acute spinal cord injury（SCI）. MPSS use for SCI has since become very controversial and it is our opinion that additional evidence is unlikely to break the stalemate amongst clinicians. Patient opinion has the potential to break this stalemate and we review our recent findings which reported that spinal cord injured patients informed of the risks and benefits of MPSS reported a preference for MPSS administration. We discuss the implications of the current MPSS debate on translational research and seek to address some misconceptions which have evolved. As science has failed to resolve the MPSS debate we argue that the debate is an increasingly philosophical one. We question whether SCI might be viewed as a serious condition like cancer where serious side effects of therapeutics are tolerated even when benefits may be small. We also draw attention to the similarity between the side effects of MPSS and isotretinoin which is prescribed for the cosmetic disorder acne vulgaris. Ultimately we question how patient autonomy should be weighed in the context of current SCI guidelines and MPSS＇s status as a historical standard of care.

Two New Methods for Multiattribute Decision Makings with Information Partially Known

This paper investigated multiattribute decision makings with the decision maker’s preference information partially known.The weighted average programming and minimum weighted average deviation methods were established.Feasibility and effectiveness of the two methods were illustrated with an actual example.