Research on Multi-characteristic Enterprise Product Intelligent Pricing Method Based on GSADF-TOPSIS-BP Model
Enterprise product shows many characteristics, thus, pricing is an essential strategy of an enterprise, but the multi-characteristic enterprise product pricing method does not adapt to the dynamic and changeable market demand. As a method of artificial intelligence, the prediction ability of BP (Bac...
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| Veröffentlicht in: | IEEE access 2023-01, Vol.11, p.1-1 |
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| creator | Li, Hongwei Ji, Mingxin Dou, Zhiwu Zhang, Chunsheng Li, Xuemin |
| description | Enterprise product shows many characteristics, thus, pricing is an essential strategy of an enterprise, but the multi-characteristic enterprise product pricing method does not adapt to the dynamic and changeable market demand. As a method of artificial intelligence, the prediction ability of BP (Back ProPagation Network) has been questioned and challenged. Therefore, this article established a multi-characteristic intelligent pricing method research system for an enterprise products, through GSADF (Generalized Sup ADF Statistic) model, measured the price bubble of enterprise products; TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method, established the multi-characteristic enterprise product price impact factor index system and sort the weight, clarify the weight of price impact factor; Further, built GSADF-TOPSIS-BP model as an intelligent pricing method model and make the final pricing based on the price bubble risk level and risk alert, the multi-characteristic enterprise product intelligent pricing method is determined. It reflects the intelligence and superiority compared with the traditional pricing method model, and provides new ideas and methods for multi-characteristic enterprise product pricing. |
| doi_str_mv | 10.1109/ACCESS.2023.3241239 |
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As a method of artificial intelligence, the prediction ability of BP (Back ProPagation Network) has been questioned and challenged. Therefore, this article established a multi-characteristic intelligent pricing method research system for an enterprise products, through GSADF (Generalized Sup ADF Statistic) model, measured the price bubble of enterprise products; TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method, established the multi-characteristic enterprise product price impact factor index system and sort the weight, clarify the weight of price impact factor; Further, built GSADF-TOPSIS-BP model as an intelligent pricing method model and make the final pricing based on the price bubble risk level and risk alert, the multi-characteristic enterprise product intelligent pricing method is determined. It reflects the intelligence and superiority compared with the traditional pricing method model, and provides new ideas and methods for multi-characteristic enterprise product pricing.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2023.3241239</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Artificial intelligence ; Artificial neural networks ; Back propagation networks ; Cultural differences ; GSADF-TOPSIS-BP model ; Impact factors ; Intelligent pricing method ; Investment ; Multi-characteristic enterprise product ; Predictive models ; Pricing ; Risk levels ; Support vector machines ; Technological innovation</subject><ispartof>IEEE access, 2023-01, Vol.11, p.1-1</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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As a method of artificial intelligence, the prediction ability of BP (Back ProPagation Network) has been questioned and challenged. Therefore, this article established a multi-characteristic intelligent pricing method research system for an enterprise products, through GSADF (Generalized Sup ADF Statistic) model, measured the price bubble of enterprise products; TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method, established the multi-characteristic enterprise product price impact factor index system and sort the weight, clarify the weight of price impact factor; Further, built GSADF-TOPSIS-BP model as an intelligent pricing method model and make the final pricing based on the price bubble risk level and risk alert, the multi-characteristic enterprise product intelligent pricing method is determined. It reflects the intelligence and superiority compared with the traditional pricing method model, and provides new ideas and methods for multi-characteristic enterprise product pricing.</description><subject>Artificial intelligence</subject><subject>Artificial neural networks</subject><subject>Back propagation networks</subject><subject>Cultural differences</subject><subject>GSADF-TOPSIS-BP model</subject><subject>Impact factors</subject><subject>Intelligent pricing method</subject><subject>Investment</subject><subject>Multi-characteristic enterprise product</subject><subject>Predictive models</subject><subject>Pricing</subject><subject>Risk levels</subject><subject>Support vector machines</subject><subject>Technological innovation</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUU1P4zAQjdCuBAJ-ARwi7Tldf8SOcyzdFipRURE4WxN73KYKMWunB_497gatmMvMPM17M6OXZTeUzCgl9e_5YrFsmhkjjM84Kynj9Vl2waisCy64_PGtPs-uYzyQFCpBorrI3p4xIgSzz_2Qb4792BVmDwHMiKGLY2fy5ZDK99Rgvg3eHs2YrxPU990OhzFhnemGXb7Bce9tfgcR7Unrvpn_WRUvT9tm3RR323zjLfZX2U8HfcTrr3yZva6WL4uH4vHpfr2YPxaGi3osFLSIlYBWmZYR4QAra0irwFFFWFspI5yynBLBKG-RSnAIVNJWSMIdl_wyW0-61sNBp-PfIHxoD53-B_iw0xDScz1qTpA7QQigZaU1sraEqlJCXTGoVOmS1q9J6z34v0eMoz74YxjS-ZpTJmtWSnLayKcpE3yMAd3_rZTok016skmfbNJfNiXW7cTqEPEbg3AmSsE_Ae8SjaA</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Li, Hongwei</creator><creator>Ji, Mingxin</creator><creator>Dou, Zhiwu</creator><creator>Zhang, Chunsheng</creator><creator>Li, Xuemin</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| subjects | Artificial intelligence Artificial neural networks Back propagation networks Cultural differences GSADF-TOPSIS-BP model Impact factors Intelligent pricing method Investment Multi-characteristic enterprise product Predictive models Pricing Risk levels Support vector machines Technological innovation |
| title | Research on Multi-characteristic Enterprise Product Intelligent Pricing Method Based on GSADF-TOPSIS-BP Model |
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