An Additive-Consistency- and Consensus-Based Approach for Uncertain Group Decision Making With Linguistic Preference Relations

一致性(知识库) 群体决策 成对比较 偏爱 一致性指数 一致性模型 计算机科学 弱一致性 数学 因果一致性 语言学 人工智能 强一致性 顺序一致性 统计 心理学 算法 社会心理学 正确性 哲学 复合材料 估计员 材料科学 流变学
作者
Jing-Feng Tian,Zhiming Zhang,Ming-Hu Ha
出处
期刊:IEEE Transactions on Fuzzy Systems [Institute of Electrical and Electronics Engineers]
卷期号:27 (5): 873-887 被引量:37
标识
DOI:10.1109/tfuzz.2018.2865132
摘要

Linguistic preference relations (LPRs) can indicate the decision makers (DMs)' qualitative pairwise judgments regarding a set of alternatives in uncertain multicriteria decision-making problems. This paper examines several goal programming models for managing the additive consistency and consensus of LPRs and then develops an additive-consistency- and consensus-based method for group decision making (GDM) with LPRs. First, this paper offers a consistency index to quantify the consistency level for LPRs and define acceptable consistent LPRs. For an LPR that is unacceptably additive consistent, several additive-consistency-based programming models are developed to address the inconsistency and to establish an acceptably consistent LPR. Then, an additive-consistency-based procedure to generate the priority weight vector from the LPR is offered. An additive-consistency-based algorithm for decision making with an LPR is presented. Subsequently, considering the consensus in GDM, a consensus index is proposed for gauging the agreement degree among individual LPRs. Regarding individual LPRs that do not exhibit acceptably additive consistency or acceptable consensus, several goal programming models to derive new LPRs with acceptable consistency and consensus are provided. Afterward, the DMs' weights are determined objectively, and individual LPRs are integrated into a collective LPR. An additive-consistency- and consensus-based GDM method with a group of LPRs is developed. Finally, two practical numerical examples are offered, and a comparative analysis is presented.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
奶昔源发布了新的文献求助10
刚刚
洛小枫完成签到,获得积分10
1秒前
1秒前
2秒前
打打应助ohh采纳,获得10
3秒前
Lokiki驳回了xixi应助
3秒前
信徒完成签到,获得积分10
3秒前
3秒前
4秒前
西西发布了新的文献求助10
5秒前
星辰大海应助任性雨柏采纳,获得10
5秒前
yannnis发布了新的文献求助10
5秒前
婉约清扬完成签到 ,获得积分10
5秒前
加菲丰丰举报无问西东求助涉嫌违规
6秒前
6秒前
英俊雅琴发布了新的文献求助10
6秒前
郑泽森发布了新的文献求助10
7秒前
桐桐应助noflatterer采纳,获得10
8秒前
9秒前
Akim应助虚幻的小海豚采纳,获得10
9秒前
图图烤肉完成签到,获得积分10
11秒前
11秒前
12秒前
小马甲应助fiee采纳,获得10
13秒前
风的忧伤完成签到,获得积分10
13秒前
daisy完成签到,获得积分10
14秒前
14秒前
淡然元珊发布了新的文献求助10
14秒前
14秒前
nini应助研友_LXd7JL采纳,获得10
14秒前
15秒前
彭于晏应助奶昔源采纳,获得10
15秒前
加菲丰丰举报斯文的樱桃求助涉嫌违规
16秒前
可爱的函函应助JJ采纳,获得10
17秒前
18秒前
cs完成签到 ,获得积分10
18秒前
李傲发布了新的文献求助10
19秒前
WIN发布了新的文献求助10
19秒前
kk完成签到,获得积分10
20秒前
LF-Scie发布了新的文献求助200
20秒前
高分求助中
Sustainability in Tides Chemistry 2000
Microlepidoptera Palaearctica, Volumes 1 and 3 - 13 (12-Volume Set) [German] 1122
Дружба 友好报 (1957-1958) 1000
The Data Economy: Tools and Applications 1000
A Dissection Guide & Atlas to the Rabbit 600
中国心血管健康与疾病报告2023(要完整的报告) 500
Ожившие листья и блуждающие цветы. Практическое руководство по содержанию богомолов [Alive leaves and wandering flowers. A practical guide for keeping praying mantises] 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3102382
求助须知:如何正确求助?哪些是违规求助? 2753656
关于积分的说明 7624478
捐赠科研通 2406188
什么是DOI,文献DOI怎么找? 1276717
科研通“疑难数据库(出版商)”最低求助积分说明 616918
版权声明 599103