一种新的基于直觉的多准则群决策方法 模糊SIR方法

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

摘要翻译：
优劣排序(SIR)方法是PROMETHEE方法的一个发展，可以更有效地处理多准则决策(MCDM)问题。直觉模糊集是模糊集的一个重要扩展，它包含隶属函数和非隶属函数，可以更精确地描述不确定信息。在现实世界中，决策通常是在不确定的环境下进行的，涉及到多个个体，这些个体对决策问题的处理有自己的观点。为了解决不确定性群体MCDM问题，本文提出了一种新的直觉模糊SIR方法。该方法利用直觉模糊聚合算子和SIR排序方法处理不确定信息；将个人意见融入群体意见；多准则决策；最后构造一个具体的决策映射。该方法在供应链管理群决策问题的仿真中得到了验证。
---
英文标题：
《A Novel Multicriteria Group Decision Making Approach With Intuitionistic
  Fuzzy SIR Method》
---
作者：
Junyi Chai, James N.K. Liu
---
最新提交年份：
2011
---
分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
--

---
英文摘要：
  The superiority and inferiority ranking (SIR) method is a generation of the well-known PROMETHEE method, which can be more efficient to deal with multi-criterion decision making (MCDM) problem. Intuitionistic fuzzy sets (IFSs), as an important extension of fuzzy sets (IFs), include both membership functions and non-membership functions and can be used to, more precisely describe uncertain information. In real world, decision situations are usually under uncertain environment and involve multiple individuals who have their own points of view on handing of decision problems. In order to solve uncertainty group MCDM problem, we propose a novel intuitionistic fuzzy SIR method in this paper. This approach uses intuitionistic fuzzy aggregation operators and SIR ranking methods to handle uncertain information; integrate individual opinions into group opinions; make decisions on multiple-criterion; and finally structure a specific decision map. The proposed approach is illustrated in a simulation of group decision making problem related to supply chain management.
---
PDF链接：
https://arxiv.org/pdf/1107.1020

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏0 回帖

关键词：多准则 Sir Presentation Intelligence Supply Chain 聚合 uncertain membership 利用 problem