Abstract
An overview of existing decision-making support software and systems for weakly structured subject domains, using expert information has been performed. Existing tools are analyzed and compared with each other from the standpoint of their mathematical ware and functionality, particularly in the area of strategic planning problem solution. It is outlined the key decision-making support tools development trends of the last few decades. On the one hand, the decision-making support system concept is often loosely used, and different kinds of statistical tools, and whole development environments are marketed as decision support software. On the other, many decision support tools are designed for specific problems and subject domains. In spite of complexity of decision problems, manufacturers of decision support software products should keep universality and flexibility requirements in mind. It has been shown that existing automated decision-making support tools are characterized by a set of functional drawbacks and limitations. None of the decision support systems listed in the article allows users to automate the whole strategic planning cycle (from strategic goal formulation to its decomposition into sub-goals and projects to optimal distribution of limited resources among these projects).Based on conducted analysis, a set of relevant requirements to modern decision-making support tools under present-day realities has been suggested. These include universality (irrespectively of the particular subject domain), expert-friendly scale-agnostic interface, opportunity for group expert session organization in remote mode, and others.Based on these requirements, it is obtained specific recommendations for decision-making support means selection in the process of strategic planning (i.e. which systems work better for specific strategic planning-related problems), and for further improvement of decision support tools. Tabl.: 1. Refs: 33 titles.
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