On convergence of expert group thought

Yu Cheng Dong; Yin Feng Xu; Gui Qing Zhang

On convergence of expert group thought

Yu Cheng Dong
, Yin Feng Xu
, Gui Qing Zhang

School of Management

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Group decision making is a one of the most effective methods to resolve complex decision problems. In this paper, it was proved that both the weighted geometric mean complex judgement and the weighted arithmetical mean complex judgement will converge in probability at impersonal priority vector if the perturbation factors in judgements that experts given is stochastic. This result is of importance to group decision making.

Original language	English
Pages (from-to)	108-111+123
Journal	Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
Volume	26
Issue number	3
State	Published - Mar 2006

Keywords

Convergence
Group thought
Opinions synthesis

Cite this

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title = "On convergence of expert group thought",

abstract = "Group decision making is a one of the most effective methods to resolve complex decision problems. In this paper, it was proved that both the weighted geometric mean complex judgement and the weighted arithmetical mean complex judgement will converge in probability at impersonal priority vector if the perturbation factors in judgements that experts given is stochastic. This result is of importance to group decision making.",

keywords = "Convergence, Group thought, Opinions synthesis",

author = "Dong, \{Yu Cheng\} and Xu, \{Yin Feng\} and Zhang, \{Gui Qing\}",

year = "2006",

month = mar,

language = "英语",

volume = "26",

pages = "108--111+123",

journal = "Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice",

issn = "1000-6788",

publisher = "Systems Engineering Society of China",

number = "3",

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T1 - On convergence of expert group thought

AU - Dong, Yu Cheng

AU - Xu, Yin Feng

AU - Zhang, Gui Qing

PY - 2006/3

Y1 - 2006/3

N2 - Group decision making is a one of the most effective methods to resolve complex decision problems. In this paper, it was proved that both the weighted geometric mean complex judgement and the weighted arithmetical mean complex judgement will converge in probability at impersonal priority vector if the perturbation factors in judgements that experts given is stochastic. This result is of importance to group decision making.

AB - Group decision making is a one of the most effective methods to resolve complex decision problems. In this paper, it was proved that both the weighted geometric mean complex judgement and the weighted arithmetical mean complex judgement will converge in probability at impersonal priority vector if the perturbation factors in judgements that experts given is stochastic. This result is of importance to group decision making.

KW - Convergence

KW - Group thought

KW - Opinions synthesis

UR - https://www.scopus.com/pages/publications/33646129244

M3 - 文章

AN - SCOPUS:33646129244

SN - 1000-6788

VL - 26

SP - 108-111+123

JO - Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice

JF - Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice

IS - 3

ER -

On convergence of expert group thought

Abstract

Keywords

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