{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:EGI23ZBGLDBRAFJGPSTJBVD3LS","short_pith_number":"pith:EGI23ZBG","schema_version":"1.0","canonical_sha256":"2191ade42658c31015267ca690d47b5ca475d3733936f1a026e599d0ff9eb2b1","source":{"kind":"arxiv","id":"1304.1506","version":1},"attestation_state":"computed","paper":{"title":"The Effects of Perfect and Sample Information on Fuzzy Utilities in Decision-Making","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Maria Angeles Gil, Pramod Jain","submitted_at":"2013-03-27T19:38:16Z","abstract_excerpt":"In this paper, we first consider a Bayesian framework and model the \"utility function\" in terms of fuzzy random variables. On the basis of this model, we define the \"prior (fuzzy) expected utility\" associated with each action, and the corresponding \"posterior (fuzzy) expected utility given sample information from a random experiment\". The aim of this paper is to analyze how sample information can affect the expected utility. In this way, by using some fuzzy preference relations, we conclude that sample information allows a decision maker to increase the expected utility on the average. The upp"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1304.1506","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-03-27T19:38:16Z","cross_cats_sorted":[],"title_canon_sha256":"fef98954f46267701f63bff8afc424b1a734a86d27ba296a762fa534d47effa6","abstract_canon_sha256":"58653046f45087987d2e195798dc1ccaf61b71b9bd33c5b3843f3742f6999248"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:28:55.645471Z","signature_b64":"0mCCnpZdbugRkavMvUrOcULw1ptdcAt3S1RD4aMaesNG7sbrGA7xrxTgN17ApHC0mvlMH0AI//lPxREArTr0AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2191ade42658c31015267ca690d47b5ca475d3733936f1a026e599d0ff9eb2b1","last_reissued_at":"2026-05-18T03:28:55.644815Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:28:55.644815Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Effects of Perfect and Sample Information on Fuzzy Utilities in Decision-Making","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Maria Angeles Gil, Pramod Jain","submitted_at":"2013-03-27T19:38:16Z","abstract_excerpt":"In this paper, we first consider a Bayesian framework and model the \"utility function\" in terms of fuzzy random variables. On the basis of this model, we define the \"prior (fuzzy) expected utility\" associated with each action, and the corresponding \"posterior (fuzzy) expected utility given sample information from a random experiment\". The aim of this paper is to analyze how sample information can affect the expected utility. In this way, by using some fuzzy preference relations, we conclude that sample information allows a decision maker to increase the expected utility on the average. The upp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1304.1506","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1304.1506","created_at":"2026-05-18T03:28:55.644911+00:00"},{"alias_kind":"arxiv_version","alias_value":"1304.1506v1","created_at":"2026-05-18T03:28:55.644911+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1304.1506","created_at":"2026-05-18T03:28:55.644911+00:00"},{"alias_kind":"pith_short_12","alias_value":"EGI23ZBGLDBR","created_at":"2026-05-18T12:27:43.054852+00:00"},{"alias_kind":"pith_short_16","alias_value":"EGI23ZBGLDBRAFJG","created_at":"2026-05-18T12:27:43.054852+00:00"},{"alias_kind":"pith_short_8","alias_value":"EGI23ZBG","created_at":"2026-05-18T12:27:43.054852+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/EGI23ZBGLDBRAFJGPSTJBVD3LS","json":"https://pith.science/pith/EGI23ZBGLDBRAFJGPSTJBVD3LS.json","graph_json":"https://pith.science/api/pith-number/EGI23ZBGLDBRAFJGPSTJBVD3LS/graph.json","events_json":"https://pith.science/api/pith-number/EGI23ZBGLDBRAFJGPSTJBVD3LS/events.json","paper":"https://pith.science/paper/EGI23ZBG"},"agent_actions":{"view_html":"https://pith.science/pith/EGI23ZBGLDBRAFJGPSTJBVD3LS","download_json":"https://pith.science/pith/EGI23ZBGLDBRAFJGPSTJBVD3LS.json","view_paper":"https://pith.science/paper/EGI23ZBG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1304.1506&json=true","fetch_graph":"https://pith.science/api/pith-number/EGI23ZBGLDBRAFJGPSTJBVD3LS/graph.json","fetch_events":"https://pith.science/api/pith-number/EGI23ZBGLDBRAFJGPSTJBVD3LS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EGI23ZBGLDBRAFJGPSTJBVD3LS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EGI23ZBGLDBRAFJGPSTJBVD3LS/action/storage_attestation","attest_author":"https://pith.science/pith/EGI23ZBGLDBRAFJGPSTJBVD3LS/action/author_attestation","sign_citation":"https://pith.science/pith/EGI23ZBGLDBRAFJGPSTJBVD3LS/action/citation_signature","submit_replication":"https://pith.science/pith/EGI23ZBGLDBRAFJGPSTJBVD3LS/action/replication_record"}},"created_at":"2026-05-18T03:28:55.644911+00:00","updated_at":"2026-05-18T03:28:55.644911+00:00"}