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Motivated by these limitations, this research article proposes a novel and generalized method which uses ordinal semantic weighted multiscale values for attributes in formal concept analysis with granular computing measures especially when spatio-temporal attributes are not given. The originality of proposed methodology is using ordinal semantic weighted multiscale values for attributes that give complete information of event occurrences. Moreover, the use of ordinal semantic weighted multiscale values improves the results of granular computing measures. The significance of proposed approach is well explained by experimental evaluation performed on publicly available datasets on storm occurring in different States of America.<\/jats:p>","DOI":"10.3233\/jifs-223764","type":"journal-article","created":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T12:21:46Z","timestamp":1684844506000},"page":"1567-1586","source":"Crossref","is-referenced-by-count":2,"title":["Granular computing approach for the ordinal semantic weighted multiscale values for the attributes in formal concept analysis algorithm"],"prefix":"10.1177","volume":"45","author":[{"given":"Imran","family":"Ali","sequence":"first","affiliation":[{"name":"School of Computer Science, Shaanxi Normal University, Xi\u2019an, China"},{"name":"Sukkur IBA University, Sindh, Pakistan"}]},{"given":"Yongming","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science, Shaanxi Normal University, Xi\u2019an, China"}]},{"given":"Witold","family":"Pedrycz","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada"}]}],"member":"179","reference":[{"issue":"13","key":"10.3233\/JIFS-223764_ref1","doi-asserted-by":"publisher","first-page":"2751","DOI":"10.1016\/j.ins.2008.02.012","article-title":"Is there a need for fuzzy logic?","volume":"178","author":"Zadeh","year":"2008","journal-title":"Inf Sci (Ny)"},{"issue":"4","key":"10.3233\/JIFS-223764_ref2","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1109\/TSMCC.2008.2012168","article-title":"Formal concept analysis with background knowledge: Attribute priorities","volume":"39","author":"Belohlavek","year":"2009","journal-title":"IEEE Trans Syst Man Cybern Part C Appl Rev"},{"key":"10.3233\/JIFS-223764_ref3","doi-asserted-by":"crossref","unstructured":"Ganter B. and Wille R. , Formal Concept Analysis: Mathematical Foundations, Berlin: Springer-Verlag, 1999.","DOI":"10.1007\/978-3-642-59830-2"},{"key":"10.3233\/JIFS-223764_ref4","doi-asserted-by":"publisher","first-page":"1342","DOI":"10.48550\/arXiv.1111.5689","article-title":"Revisiting Numerical Pattern Mining with Formal Concept Analysis","author":"Kaytoue","year":"2011","journal-title":"Pro. of the Twenty- Sec. 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