Abstract
The article discusses some aspects of the object descriptions having significant innovation potential. The procedure for selecting such descriptions consists of two consecutive phases. The first phase involves generating effective search queries with a special genetic algorithm. In the second phase, the model developed determines the likely innovativeness of the object. Meanwhile the values of additive selection criteria are calculated. In the latter case, the criterion is the index of innovativeness. The purpose of the article is to justify the additive criterion applicability for calculating the value of the object innovativeness. The article describes general conditions of applying additive evaluation criteria and shows how these conditions are met in the case in question. The analysis of the partial criteria gives grounds to assert their additive independence and, therefore, the correct use of additive n-dimensional utility function. Some additional reasons for applying additive criterion are also given. In general, the article proposes a unified approach to generating global assessment criteria and the relevance of their unified formal structure is shown. Note that earlier the authors proposed a similar approach to the fitness function formation of the genetic algorithm used. Despite the different physical meaning and purpose of the criteria, their relevance to common formal structure is proved.
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V. K. Ivanov, B. V. Palyukh, and A. N. Sotnikov, ‘‘Additive criteria to evaluate relevance of innovative objects in data warehouse,’’ Lobachevskii J. Math. 41 (12), 2535–2541 (2020). https://doi.org/10.1134/S199508022012015X
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This work was done at the Tver State Technical University with supporting of the Russian Foundation of Basic Research (project no. 20-07-00199) and at the Joint Supercomputer Center of the Russian Academy of Sciences—Branch of NIISI RAS within the framework of the State assignment (research topic 0580-2021-0016).
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Ivanov, V.K., Palyukh, B.V. & Sotnikov, A.N. Additive Criterion to Evaluate Object Innovation. Lobachevskii J Math 42, 2537–2544 (2021). https://doi.org/10.1134/S1995080221110111
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DOI: https://doi.org/10.1134/S1995080221110111