Jyrki Kangas

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Ž The present study examines a new hybrid method for improving the usability of SWOT Strengths, Weaknesses, . Opportunities and Threats analysis. A commonly used decision analysis method, the Analytic Hierarchy Process Ž . AHP , and its eigenvalue calculation framework are integrated with SWOT analysis. AHP’s connection to SWOT yields analytically(More)
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(More)
Two outranking methods, ELECTRE III and PROMETHEE II, commonly used as decision-aid in various environmental problems, and their applications to decision support for natural resources management are presented. These methods represent ‘the European school’ of multi-criteria decision making (MCDM), as opposed to ‘the American school’, represented by, for(More)
Voting theory has a lot in common with utility theory, and especially with group decision-making. An expected-utility-maximising strategy exists in voting situations, as well as in decision-making situations. Therefore, it is natural to utilise the achievements of voting theory also in group decision-making. Most voting systems are based on a single(More)
SWOT is a widely applied tool in strategic decision support. In SWOT, the internal and external factors most important for the enterprise’s future are grouped into four categories: Strengths, Weaknesses, Opportunities, and Threats. By applying SWOT in a strategic planning process, the aim usually is to develop and adopt a strategy resulting in a good fit(More)
The yield of various forest variables is predicted by means of a simulation system to provide information for forest management planning. These predictions contain many kinds of uncertainty, for example, prediction and measurement errors. Inevitably, this has an effect on forest management planning. It is well known that uncertainty in the forest yields(More)
Timber prices belong to the most important variables affecting the optimality of forest management. On the other hand, forecasting of timber prices is very uncertain. One difficulty when using past time series data in forecasting future timber price development is the possibility of changes in the markets and in the society at large. Expert knowledge can be(More)
In forest management planning, deterministic timber prices are typically assumed. However, real-life timber prices vary in the course of time, and also price peaks, i.e. exceptionally high timber prices, might occur. If land-owners can utilise the price variation by selling timber with the high prices, they are able to increase their net revenues(More)
Modern forestry increasingly often requires consideration of ecological objectives in planning calculations. A common problem in the integration of ecological objectives with forest planning is the lack of empirical models usable when evaluating the ecological merits of alternative forest treatment schedules. With respect to the habitat requirements of a(More)