TITLE

Prognostic Assessment of Spontaneous Intracerebral Hemorrhage with Intuitionistic Fuzzy Information

AUTHOR(S)
Yidan Zhang; Xi Jin; Jianjun Zhao
PUB. DATE
January 2013
SOURCE
International Journal of Digital Content Technology & its Applic;Jan2013, Vol. 7 Issue 2, p257
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Spontaneous intracerebral hemorrhage (ICH) is one of the most lethal stroke types. Its mortality is very high, and most survivors may have various disabilities. Although a quite great progress in the treatment of ischemic stroke and subarachnoid hemorrhage has been made, there is still lack of effective therapeutic methods for ICH. Some prognostic models for mortality and functional recovery after ICH have been addressed, including neurological functional status, other clinical parameters, laboratory results, and neuroimaging findings, etc. Nevertheless, there is still lack of a simple, standard and popularized clinical grade or a model for early evaluation of prognosis, and thus it has caused the differences in the related study results of ICH and the inconsistency in clinical treatment. We investigate the multiple attribute decision making (MADM) problems for evaluating the prognostic assessment of spontaneous intracerebral hemorrhage with intuitionistic fuzzy information. Firstly, some operational laws of intuitionistic fuzzy numbers and score function and accuracy function of intuitionistic fuzzy numbers are introduced. Then, we utilize the intuitionistic fuzzy correlate geometric (IFCG) operator to aggregate the intuitionistic fuzzy information corresponding to each alternative and get the overall value of the alternatives, then rank the alternatives and select the most desirable one(s) according to the score function and accuracy function. Finally, an illustrative example demonstrates the practicality and effectiveness of the proposed method.
ACCESSION #
98893797

 

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