Evidence map›Paper›PMID 34067595›Full record

ArticleEntropy (Basel, Switzerland)2021

Fractional Deng Entropy and Extropy and Some Applications.

Mohammad Reza Kazemi, Saeid Tahmasebi, Francesco Buono, Maria Longobardi

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Weighted Cumulative Past Extropy and Its Inference.Entropy (Basel, Switzerland) · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mohammad Reza KazemiDepartment of Statistics, Faculty of Science, Fasa University, Fasa 746-168-6688, Iran.ORCID 0000-0001-9957-6963
Saeid TahmasebiDepartment of Statistics, Persian Gulf University, Bushehr 751-691-3817, Iran.ORCID 0000-0003-4025-6791
Francesco BuonoDipartimento di Matematica e Applicazioni "Renato Caccioppoli", Università degli Studi di Napoli Federico II, 80138 Naples, Italy.ORCID 0000-0002-3569-4052
Maria LongobardiDipartimento di Biologia, Università degli Studi di Napoli Federico II, 80138 Naples, Italy.ORCID 0000-0002-6772-5167

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deng entropy and extropy are two measures useful in the Dempster-Shafer evidence theory (DST) to study uncertainty, following the idea that extropy is the dual concept of entropy. In this paper, we present their fractional versions named fractional Deng entropy and extropy and compare them to other measures in the framework of DST. Here, we study the maximum for both of them and give several examples. Finally, we analyze a problem of classification in pattern recognition in order to highlight the importance of these new measures.

Indexed as

classification and discriminationDeng entropy and extropyfractional entropymeasures of uncertainty

Identifiers

PMID34067595
PMCPMC8155945

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.