Fuzzy clustering of data with uncertainties using minimum and maximum distances based on L/sub 1/ metric
- DOI
- 10.1109/nafips.2001.943617
- Published
- Not recorded
- Container
- Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569)
- Publisher
- IEEE
- Open access
- unknown
Credibility signals
uncertain Score 58/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1109/nafips.2001.943617,
title = {Fuzzy clustering of data with uncertainties using minimum and maximum distances based on L/sub 1/ metric},
author = {O. Takata and S. Miyamoto and K. Umayahara},
journal = {Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569)},
doi = {10.1109/nafips.2001.943617},
url = {https://doi.org/10.1109/nafips.2001.943617}
}RIS
TY - JOUR TI - Fuzzy clustering of data with uncertainties using minimum and maximum distances based on L/sub 1/ metric AU - O. Takata AU - S. Miyamoto AU - K. Umayahara JO - Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569) DO - 10.1109/nafips.2001.943617 UR - https://doi.org/10.1109/nafips.2001.943617 ER -
APA
Takata, O., Miyamoto, S., & Umayahara, K. (n.d.). Fuzzy clustering of data with uncertainties using minimum and maximum distances based on L/sub 1/ metric. Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569). https://doi.org/10.1109/nafips.2001.943617
Source records
- crossref · retrieved 2026-09-24T20:45:47.491Z