多标准排序/排序的复合策略（方法问题，示例）
Composite Strategy for Multicriteria Ranking/Sorting (methodological issues, examples)
摘要：
本文讨论了多准则排序（排序）的组合求解策略的模块化设计。在这里，接近Altshuller提出的创造性水平的“创造力的尺度”被用作参考观点：（i）基本对象，（ii）选定对象，（iii）修改对象，以及（iv）设计对象（例如，对象组件的组成）。这些级别可以用于决策支持系统（DSS）的各个部分（例如，信息、操作、用户）。本文侧重于更具创造性的上述层面（即，组合物或组合合成）用于操作部分（即，复合求解策略）。这对于使用各种程序和技术以及分析/整合所获得的结果的决策过程的搜索/探索模式是重要的。本文描述了决策技术的方法论问题和多准则排序的合成策略。复合策略的合成是基于“层次形态多准则设计”（HMMD），这是基于选择和组合的设计方案（DA）（这里：本地程序或技术），同时考虑到他们的质量和质量的互连（IC）。一个新版本的HMMD与区间多集估计DA使用。DSS COMBI的多准则排名的操作环境，包括形态的本地程序或技术（作为设计替代DA），检查作为一个基本的。
英文摘要：
The paper addresses the modular design of composite solving strategies for multicriteria ranking (sorting). Here a 'scale of creativity' that is close to creative levels proposed by Altshuller is used as the reference viewpoint: (i) a basic object, (ii) a selected object, (iii) a modified object, and (iv) a designed object (e.g., composition of object components). These levels maybe used in various parts of decision support systems (DSS) (e.g., information, operations, user). The paper focuses on the more creative above-mentioned level (i.e., composition or combinatorial synthesis) for the operational part (i.e., composite solving strategy). This is important for a search/exploration mode of decision making process with usage of various procedures and techniques and analysis/integration of obtained results. The paper describes methodological issues of decision technology and synthesis of composite strategy for multicriteria ranking. The synthesis of composite strategies is based on 'hierarchical morphological multicriteria design' (HMMD) which is based on selection and combination of design alternatives (DAs) (here: local procedures or techniques) while taking into account their quality and quality of their interconnections (IC). A new version of HMMD with interval multiset estimates for DAs is used. The operational environment of DSS COMBI for multicriteria ranking, consisting of a morphology of local procedures or techniques (as design alternatives DAs), is examined as a basic one.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
