Matches in SemOpenAlex for { <https://semopenalex.org/work/W2019985241> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2019985241 abstract "This work is presenting a method to assist customers with their purchasing enquiries using fuzzy forecasting method by segmenting them to specific groups. After customer segmentation, we could forecast customer requirements. Customer Segmentation is based on customer's requirements and characteristics which cannot be categorized in an absolute or specific way as there is fuzziness in customers' personal and their requirements and product specifications. Fuzzy set theories are employed due to the presence of vagueness and imprecision of information in our problem. For this purpose, Gaussian membership function is chosen because it demonstrates a smoother transition in its intervals, and the achieved results were closer to the actual ones. The contribution of this paper is that it applies one of the most recent existing achievements in multi-variable fuzzy forecasting for anticipating customer requirements. Our new methodology has two parts; a fuzzy clustering based on fuzzy C-means for customer segmentation and a fuzzy forecasting method by multi-variable rule interpolation technique. At the end, we could suggest customers the products which satisfy them." @default.
- W2019985241 created "2016-06-24" @default.
- W2019985241 creator A5041565638 @default.
- W2019985241 creator A5062020175 @default.
- W2019985241 date "2013-08-01" @default.
- W2019985241 modified "2023-09-25" @default.
- W2019985241 title "A fuzzy recommender system for forecasting customer segmentation by multi-variable fuzzy rule interpolation" @default.
- W2019985241 cites W1975700746 @default.
- W2019985241 cites W1978587881 @default.
- W2019985241 cites W2013198395 @default.
- W2019985241 cites W2025426031 @default.
- W2019985241 cites W2036421701 @default.
- W2019985241 cites W2037429226 @default.
- W2019985241 cites W2038878582 @default.
- W2019985241 cites W2064395451 @default.
- W2019985241 cites W2089491238 @default.
- W2019985241 cites W2100399071 @default.
- W2019985241 cites W2107183347 @default.
- W2019985241 cites W2117496317 @default.
- W2019985241 cites W2122475393 @default.
- W2019985241 cites W2135092349 @default.
- W2019985241 cites W2136760654 @default.
- W2019985241 cites W2149002934 @default.
- W2019985241 cites W2156715830 @default.
- W2019985241 cites W2162956764 @default.
- W2019985241 cites W4249424216 @default.
- W2019985241 doi "https://doi.org/10.1109/ifsc.2013.6675614" @default.
- W2019985241 hasPublicationYear "2013" @default.
- W2019985241 type Work @default.
- W2019985241 sameAs 2019985241 @default.
- W2019985241 citedByCount "1" @default.
- W2019985241 countsByYear W20199852412018 @default.
- W2019985241 crossrefType "proceedings-article" @default.
- W2019985241 hasAuthorship W2019985241A5041565638 @default.
- W2019985241 hasAuthorship W2019985241A5062020175 @default.
- W2019985241 hasConcept C119857082 @default.
- W2019985241 hasConcept C124101348 @default.
- W2019985241 hasConcept C125308379 @default.
- W2019985241 hasConcept C127385683 @default.
- W2019985241 hasConcept C127413603 @default.
- W2019985241 hasConcept C134306372 @default.
- W2019985241 hasConcept C144133560 @default.
- W2019985241 hasConcept C148671577 @default.
- W2019985241 hasConcept C154945302 @default.
- W2019985241 hasConcept C162853370 @default.
- W2019985241 hasConcept C170260401 @default.
- W2019985241 hasConcept C17212007 @default.
- W2019985241 hasConcept C182365436 @default.
- W2019985241 hasConcept C1883856 @default.
- W2019985241 hasConcept C21547014 @default.
- W2019985241 hasConcept C2778813691 @default.
- W2019985241 hasConcept C33923547 @default.
- W2019985241 hasConcept C41008148 @default.
- W2019985241 hasConcept C42011625 @default.
- W2019985241 hasConcept C58166 @default.
- W2019985241 hasConceptScore W2019985241C119857082 @default.
- W2019985241 hasConceptScore W2019985241C124101348 @default.
- W2019985241 hasConceptScore W2019985241C125308379 @default.
- W2019985241 hasConceptScore W2019985241C127385683 @default.
- W2019985241 hasConceptScore W2019985241C127413603 @default.
- W2019985241 hasConceptScore W2019985241C134306372 @default.
- W2019985241 hasConceptScore W2019985241C144133560 @default.
- W2019985241 hasConceptScore W2019985241C148671577 @default.
- W2019985241 hasConceptScore W2019985241C154945302 @default.
- W2019985241 hasConceptScore W2019985241C162853370 @default.
- W2019985241 hasConceptScore W2019985241C170260401 @default.
- W2019985241 hasConceptScore W2019985241C17212007 @default.
- W2019985241 hasConceptScore W2019985241C182365436 @default.
- W2019985241 hasConceptScore W2019985241C1883856 @default.
- W2019985241 hasConceptScore W2019985241C21547014 @default.
- W2019985241 hasConceptScore W2019985241C2778813691 @default.
- W2019985241 hasConceptScore W2019985241C33923547 @default.
- W2019985241 hasConceptScore W2019985241C41008148 @default.
- W2019985241 hasConceptScore W2019985241C42011625 @default.
- W2019985241 hasConceptScore W2019985241C58166 @default.
- W2019985241 hasLocation W20199852411 @default.
- W2019985241 hasOpenAccess W2019985241 @default.
- W2019985241 hasPrimaryLocation W20199852411 @default.
- W2019985241 hasRelatedWork W1493159477 @default.
- W2019985241 hasRelatedWork W2034883222 @default.
- W2019985241 hasRelatedWork W2109356532 @default.
- W2019985241 hasRelatedWork W2117904164 @default.
- W2019985241 hasRelatedWork W2123244309 @default.
- W2019985241 hasRelatedWork W2131398822 @default.
- W2019985241 hasRelatedWork W2374223961 @default.
- W2019985241 hasRelatedWork W2379089397 @default.
- W2019985241 hasRelatedWork W3127339996 @default.
- W2019985241 hasRelatedWork W1943881267 @default.
- W2019985241 isParatext "false" @default.
- W2019985241 isRetracted "false" @default.
- W2019985241 magId "2019985241" @default.
- W2019985241 workType "article" @default.