{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:VHD2QKV3TX5W24374WK3EZFJEX","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"93edaf2710f404fb09b3f25bdf2d55a9863d64853f5a5611ec546bb14bb2983e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-01-10T10:14:33Z","title_canon_sha256":"23fc2fadc2acc427411d9bb148d6ae1c3792489ce39de4f69c4925d664342819"},"schema_version":"1.0","source":{"id":"1201.2004","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1201.2004","created_at":"2026-05-18T04:04:54Z"},{"alias_kind":"arxiv_version","alias_value":"1201.2004v1","created_at":"2026-05-18T04:04:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1201.2004","created_at":"2026-05-18T04:04:54Z"},{"alias_kind":"pith_short_12","alias_value":"VHD2QKV3TX5W","created_at":"2026-05-18T12:27:25Z"},{"alias_kind":"pith_short_16","alias_value":"VHD2QKV3TX5W2437","created_at":"2026-05-18T12:27:25Z"},{"alias_kind":"pith_short_8","alias_value":"VHD2QKV3","created_at":"2026-05-18T12:27:25Z"}],"graph_snapshots":[{"event_id":"sha256:314b47eb8dbb3d5b35d9cde10ca0a7d7d3ff0c3d34aa03b34274e740c5342bfc","target":"graph","created_at":"2026-05-18T04:04:54Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Fuzzy rule based models have a capability to approximate any continuous function to any degree of accuracy on a compact domain. The majority of FLC design process relies on heuristic knowledge of experience operators. In order to make the design process automatic we present a genetic approach to learn fuzzy rules as well as membership function parameters. Moreover, several statistical information criteria such as the Akaike information criterion (AIC), the Bhansali-Downham information criterion (BDIC), and the Schwarz-Rissanen information criterion (SRIC) are used to construct optimal fuzzy mo","authors_text":"Bishnu Sarker, Kazuyuki Murase, Md. Amjad Hossain, Pintu Chandra Shill","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-01-10T10:14:33Z","title":"Optimal Fuzzy Model Construction with Statistical Information using Genetic Algorithm"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1201.2004","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:cb48c2953c4dfb72b789c0b51f2b841db7c48518cadd35addc8db8e1d840e407","target":"record","created_at":"2026-05-18T04:04:54Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"93edaf2710f404fb09b3f25bdf2d55a9863d64853f5a5611ec546bb14bb2983e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-01-10T10:14:33Z","title_canon_sha256":"23fc2fadc2acc427411d9bb148d6ae1c3792489ce39de4f69c4925d664342819"},"schema_version":"1.0","source":{"id":"1201.2004","kind":"arxiv","version":1}},"canonical_sha256":"a9c7a82abb9dfb6d737fe595b264a925c98e4a761b7ecc0202919564a2ed5f8d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a9c7a82abb9dfb6d737fe595b264a925c98e4a761b7ecc0202919564a2ed5f8d","first_computed_at":"2026-05-18T04:04:54.260429Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:04:54.260429Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"l+iDNAVUJcLlg+1prTKHmoaRl0SzilhUdiSZ2GYSUpB/c1Im+S9qpcuk/aF46K0AUK1fkz2Ez947IgG1pZY1Dw==","signature_status":"signed_v1","signed_at":"2026-05-18T04:04:54.260995Z","signed_message":"canonical_sha256_bytes"},"source_id":"1201.2004","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cb48c2953c4dfb72b789c0b51f2b841db7c48518cadd35addc8db8e1d840e407","sha256:314b47eb8dbb3d5b35d9cde10ca0a7d7d3ff0c3d34aa03b34274e740c5342bfc"],"state_sha256":"2c0b53295b6eaff66bcf62574b95f65202918243f9a774f20545923aaf9136b1"}