Knowledge models in computer-aided manufacturing systems; IOP Conference Series: Materials Science and Engineering; Vol. 1019 : 14th International Forum on Strategic Technology (IFOST 2019)
| Parent link: | IOP Conference Series: Materials Science and Engineering Vol. 1019 : 14th International Forum on Strategic Technology (IFOST 2019).— 2021.— [012045, 7 p.] |
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| Özet: | Title screen Despite of vast amounts of information and considerable opportunities to process it with computer-aided manufacturing systems, personal experience and lore of experts become a role-defining category in the issues of creating and making technical decisions. This should be factored into the process of creating instruments for decision making, which are based on computer-aided manufacturing systems. Efficient decision-making models, as well as models of factors (determinants) evaluation, should include expert knowledge data. In this connection, it is of burning importance to find ways to formalize expert knowledge into a code readable by computer-aided manufacturing systems. The research paper presents three determinant (criteria) evaluation models which help make technical decisions. The models include expert knowledge data formalized by means of linguistic variables. The research paper also presents recommendations on how to opt for a proper model, including requirements, and peculiarities of expert information collection matters. |
| Dil: | İngilizce |
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2021
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| Online Erişim: | http://earchive.tpu.ru/handle/11683/64557 https://doi.org/10.1088/1757-899X/1019/1/012045 |
| Materyal Türü: | MixedMaterials Elektronik Kitap Bölümü |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663555 |
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| 200 | 1 | |a Knowledge models in computer-aided manufacturing systems |f A. A. Zakharova, Y. V. Grebenyuk | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 10 tit.] | ||
| 330 | |a Despite of vast amounts of information and considerable opportunities to process it with computer-aided manufacturing systems, personal experience and lore of experts become a role-defining category in the issues of creating and making technical decisions. This should be factored into the process of creating instruments for decision making, which are based on computer-aided manufacturing systems. Efficient decision-making models, as well as models of factors (determinants) evaluation, should include expert knowledge data. In this connection, it is of burning importance to find ways to formalize expert knowledge into a code readable by computer-aided manufacturing systems. The research paper presents three determinant (criteria) evaluation models which help make technical decisions. The models include expert knowledge data formalized by means of linguistic variables. The research paper also presents recommendations on how to opt for a proper model, including requirements, and peculiarities of expert information collection matters. | ||
| 461 | 1 | |0 (RuTPU)RU\TPU\network\2008 |t IOP Conference Series: Materials Science and Engineering | |
| 463 | 0 | |0 (RuTPU)RU\TPU\network\34482 |t Vol. 1019 : 14th International Forum on Strategic Technology (IFOST 2019) |o October 14-17, 2019, Tomsk, Russia |f National Research Tomsk Polytechnic University (TPU) ; eds. R. V. Ostvald, D. Gvozdeva, A. S. Ryabikina |v [012045, 7 p.] |d 2021 | |
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| 610 | 1 | |a производственные системы | |
| 610 | 1 | |a принятие решений | |
| 610 | 1 | |a экспертные знания | |
| 610 | 1 | |a лингвистические переменные | |
| 610 | 1 | |a экспертная информация | |
| 700 | 1 | |a Zakharova |b A. A. |c specialist in the field of informatics and computer engineering |c Professor of Yurga technological Institute of Tomsk Polytechnic University, Doctor of sciences |f 1976- |g Aleksandra Aleksandrovna |3 (RuTPU)RU\TPU\pers\34678 |9 18028 | |
| 701 | 1 | |a Grebenyuk |b Y. V. | |
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| 856 | 4 | |u http://earchive.tpu.ru/handle/11683/64557 | |
| 856 | 4 | |u https://doi.org/10.1088/1757-899X/1019/1/012045 | |
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