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This paper investigates complex product-innovation processes using models grounded in a set of heuristics. Each heuristic is expressed through simple trends – increasing, decreasing, or constant – which serve as minimally information-intensive quantifiers, avoiding reliance on numerical values or rough sets. A solution to a trend model is defined as a set of scenarios with possible transitions between them, represented by a transition graph. Any possible future or past behaviour of the system under study can thus be depicted by a path within this graph.

生成讲解博客的中文版本

生成AI智能校验的中文版本