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Fuzzy Negotiation Agent by Chaotic Evolutionary System

混沌进化系统的模糊协商代理

基本信息

批准号：
17500145
负责人：
MATSUMURA Koki
金额：
$ 1.12万
依托单位：
Tottori University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2007
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17500145/
关键词：
Negotiation Evolution computation Fuzzy Agent Chaostic random M&A 労使進化計算ファジィカオス

项目摘要

This research examined the construction of the fuzzy AHP system which is effective for human value judgment processing as a choice rule of the partner ahead company in the mergers and acquisitions (M\&A) negotiations. At first, AHP performs pair comparison for plural evaluation standards. The importance degree concerning the criterion is calculated. The pair comparison of plural substitute plans is done based on this each evaluation standard. And then the importance degree concerning alternatives is calculated. In conventional AHP, it is hard to take consistency of the pair comparison, and it often becomes a big burden for the decision-maker. This paper's technique tried that the burden of the issue of this consistency is deduced by using a fuzzy number for improvement. As a concrete manner of the fuzzy ARP, it is tried to assign the number of the triangle fuzzy to be equal to the sense of the person of pair comparison for a modifier to express a pair comparison result. Next, the triangular membership function of equal intervals is often used in the Fuzzy control for the simplification. Considering that the triangular membership function having an equal interval is an insufficient thing for satisfactory expression of the decision-maker, it is tried that membership function is optimized heuristirelly to express a sense of the decision-maker. This suggestion technique can tune up a triangular membership function as a standard, and optimize it utilizing the genetic programming, that is a kind of the evolution computation technique, with the Walsh transformation and the chaotic random characteristics for efficiency and stagnation evasion of progress. As a result, it seemed that the appropriate membership function was found.

本研究探讨模糊层次分析法系统的建构，此系统能有效地进行人的价值判断处理，作为并购谈判中合作伙伴选择的准则。层次分析法首先对多个评价标准进行两两比较;计算了该准则的重要度。多个替代方案的配对比较是基于此各个评价标准进行的。然后计算方案的重要度。在传统的层次分析法中，很难判断配对比较的一致性，这往往给决策者带来很大的负担。本文尝试用模糊数的方法来推导这种一致性问题的负担。作为模糊阿普的一种具体方式，尝试将三角形的模糊数赋予成对比较的人的意义，使修饰符表示成对比较的结果。其次，在模糊控制中，常采用等间隔三角形隶属度函数来简化。考虑到三角形等区间隶属函数不足以表达决策者的满意度，尝试对隶属函数进行优化，以表达决策者的主观感受。该建议方法以三角形隶属度函数为标准，利用遗传规划（一种进化计算技术），结合沃尔什变换和混沌随机特性，对三角形隶属度函数进行优化，以提高效率和避免停滞。结果，似乎找到了适当的成员函数。