Kangas Jyrki, Kurttila Mikko, Kajanus Miika, Kangas Annika
UPM-Kymmene Forest, PO Box 32, Fin-37601 Valkeakoski, Finland.
J Environ Manage. 2003 Dec;69(4):349-58. doi: 10.1016/j.jenvman.2003.09.010.
Connecting Multiple Criteria Decision Support (MCDS) methods with SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis yields analytical priorities for the factors included in SWOT analysis and makes them commensurable. In addition, decision alternatives can be evaluated with respect to each SWOT factor. In this way, SWOT analysis provides the basic frame within which to perform analyses of decision situations. MCDS methods, in turn, assist in carrying out SWOT more analytically and in elaborating the results of the analyses so that alternative strategic decisions can be prioritized also with respect to the entire SWOT. The A'WOT analysis is an example of such hybrid methods. It makes combined use of the Analytic Hierarchy Process (AHP) and SWOT. In this study, a hybrid method of the Stochastic Multicriteria Acceptability Analysis with Ordinal criteria (SMAA-O) and SWOT is developed as an elaboration of the basic ideas of A'WOT. The method is called S-O-S (SMAA-O in SWOT). SMAA-O enables the handling of ordinal preference information as well as mixed data consisting of both ordinal and cardinal information. Using SMAA-O is enough to just rank decision elements instead of giving them cardinal preference or priority ratios as required by the most commonly used MCDS methods. Using SMAA-O, in addition to analyzing what the recommended action is under certain priorities of the criteria, enables one to analyze what kind of preferences would support each action. The S-O-S approach is illustrated by a case study, where the shareholders of a forest holding owned by a private partnership prepared the SWOT analysis. Six alternative strategies for the management of their forest holding and of old cottage located on the holding were formed. After S-O-S analyses were carried out, one alternative was found to be the most recommendable. However, different importance orders of the SWOT groups would lead to different recommendations, since three of the six alternatives were efficient according to S-O-S analyses.
将多准则决策支持(MCDS)方法与SWOT(优势、劣势、机会和威胁)分析相结合,可为SWOT分析中包含的因素得出分析优先级,并使这些因素具有可比性。此外,可以针对每个SWOT因素评估决策备选方案。通过这种方式,SWOT分析提供了一个用于对决策情境进行分析的基本框架。反过来,MCDS方法有助于更具分析性地开展SWOT分析,并详细阐述分析结果,以便也能根据整个SWOT对备选战略决策进行优先级排序。A'WOT分析就是这种混合方法的一个例子。它结合使用了层次分析法(AHP)和SWOT。在本研究中,开发了一种带有序数准则的随机多准则可接受性分析(SMAA-O)与SWOT的混合方法,作为对A'WOT基本思想的拓展。该方法被称为S-O-S(SWOT中的SMAA-O)。SMAA-O能够处理序数偏好信息以及由序数和基数信息组成的混合数据。使用SMAA-O只需对决策元素进行排序,而无需像最常用的MCDS方法那样给出基数偏好或优先级比率。使用SMAA-O,除了分析在某些准则优先级下推荐的行动是什么之外,还能分析什么样的偏好会支持每个行动。通过一个案例研究来说明S-O-S方法,在该案例中,一个私人合伙企业拥有的森林控股公司的股东进行了SWOT分析。针对其森林控股公司以及位于该控股公司内的旧村舍,形成了六种管理备选战略。在进行S-O-S分析后,发现一种备选方案是最值得推荐的。然而,SWOT组的不同重要性顺序会导致不同的推荐结果,因为根据S-O-S分析,六种备选方案中有三种是有效的。