{"type":"ScholarlyArticle","title":"Prolog-ELF Incorporating Fuzzy Logic","authors":[{"name":"Mitsuru Ishizuka","slug":"mitsuru-ishizuka","given":"Mitsuru","family":"Ishizuka","affiliation":""},{"name":"Naoki Kanai","slug":"naoki-kanai","given":"Naoki","family":"Kanai","affiliation":""}],"abstract":"Prolog-ELF incorporating fuzzy logic and some use~ul functions into Prolog has been implemented as a bas1c ~anguage for building know legde systems wi th uncerta1nty or fuzziness . Prolog- ELF inherits all the preferable ~ic features of Prolog . In addition to assers1ons w1th a truth - value between 1.0 and 0.5 (0 for an except1onal case ) , fuzzy sets can be manipulated very eas1ly to a certain extent . An application to a fuzzy logical database is illustrated.","doi":null,"url":"https://ijcai.org/proceedings/1985/136","pdf":"https://ijcai.org/proceedings/1985/0136.pdf","markdown":"https://ijcai.org/proceedings/1985/136.md","bibtex":"https://ijcai.org/proceedings/1985/bibtex/136","volume":{"slug":"1985","title":"Proceedings of the Ninth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1985","url":"https://ijcai.org/proceedings/1985/","year":1985,"location":"Los Angeles, California, USA","dates":"","editors":"Aravind Joshi","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Logic Programming","track":"Logic Programming","number":136,"pages":{"first":701,"last":702},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}