FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4362617742> ?p ?o ?g. }

• W4362617742 endingPage "861" @default.
• W4362617742 startingPage "861" @default.
• W4362617742 abstract "A medical diagnosis is one the most efficient processes of determining a disease based on a person’s symptoms and signs. In recent days, due to the complexities of the same type of diseases, it is very difficult to diagnose a disease by using old methods and techniques. In this way, new and efficient medical diagnosis methods can help a lot in reaching an accurate conclusion, depending upon the timing and sequences of symptoms and medical history. The physician relies on other clues like medical tests and imaging tests. So, in this way, a list of possible diagnoses can be determined, which are referred to as different diagnoses. To handle these types of issues in this manuscript, additional information is identified, and possible disease is confirmed. Under the consideration of classical data, it is a very difficult task to deal with complex and asymmetric sorts of data. Fuzzy set theory has a wide range of applications, from engineering to the medical field. Different methods and techniques have been proposed to support the decision-making process in medical fields. Picture fuzzy soft sets are more generalized structures and efficient tools to formalize the information more decently and accurately. So, devoted from this notion, in this article based on picture fuzzy soft settings, we firstly have established some basic operational laws for picture fuzzy soft number; then based on these operational laws, we have developed some aggregation operators named as picture fuzzy soft prioritized average and geometric aggregation operators. In real-world problems, these operators can be useful in analyzing uncomfortable and asymmetric information. Furthermore, some basic properties of the introduced operators have been initiated and discussed briefly. Moreover, to show the effective use of this developed approach to medical diagnoses, we have proposed an algorithm, along with a descriptive example. Additionally, a comparative analysis of the proposed work shows the superiority and effectiveness of the introduced approach." @default.
• W4362617742 created "2023-04-07" @default.
• W4362617742 creator A5001297305 @default.
• W4362617742 creator A5069227573 @default.
• W4362617742 date "2023-04-04" @default.
• W4362617742 modified "2023-10-02" @default.
• W4362617742 title "Picture Fuzzy Soft Prioritized Aggregation Operators and Their Applications in Medical Diagnosis" @default.
• W4362617742 cites W1966808269 @default.
• W4362617742 cites W1978334434 @default.
• W4362617742 cites W1980564456 @default.
• W4362617742 cites W2038073747 @default.
• W4362617742 cites W2079457935 @default.
• W4362617742 cites W2081282960 @default.
• W4362617742 cites W2295963161 @default.
• W4362617742 cites W2315241089 @default.
• W4362617742 cites W2514754342 @default.
• W4362617742 cites W2796575761 @default.
• W4362617742 cites W2804105936 @default.
• W4362617742 cites W2809020038 @default.
• W4362617742 cites W2846202204 @default.
• W4362617742 cites W2911720743 @default.
• W4362617742 cites W2934195809 @default.
• W4362617742 cites W2969932278 @default.
• W4362617742 cites W2999200782 @default.
• W4362617742 cites W3011105088 @default.
• W4362617742 cites W3033205673 @default.
• W4362617742 cites W3033623984 @default.
• W4362617742 cites W3043586643 @default.
• W4362617742 cites W3083465253 @default.
• W4362617742 cites W3093484412 @default.
• W4362617742 cites W3118479664 @default.
• W4362617742 cites W3126088291 @default.
• W4362617742 cites W3200665410 @default.
• W4362617742 cites W3204698454 @default.
• W4362617742 cites W4211007335 @default.
• W4362617742 cites W4212974931 @default.
• W4362617742 cites W4220946312 @default.
• W4362617742 cites W4224296435 @default.
• W4362617742 cites W4283515913 @default.
• W4362617742 cites W4302425295 @default.
• W4362617742 cites W4309474360 @default.
• W4362617742 doi "https://doi.org/10.3390/sym15040861" @default.
• W4362617742 hasPublicationYear "2023" @default.
• W4362617742 type Work @default.
• W4362617742 citedByCount "1" @default.
• W4362617742 countsByYear W43626177422023 @default.
• W4362617742 crossrefType "journal-article" @default.
• W4362617742 hasAuthorship W4362617742A5001297305 @default.
• W4362617742 hasAuthorship W4362617742A5069227573 @default.
• W4362617742 hasBestOaLocation W43626177421 @default.
• W4362617742 hasConcept C111919701 @default.
• W4362617742 hasConcept C119857082 @default.
• W4362617742 hasConcept C124101348 @default.
• W4362617742 hasConcept C140073362 @default.
• W4362617742 hasConcept C142724271 @default.
• W4362617742 hasConcept C154945302 @default.
• W4362617742 hasConcept C162324750 @default.
• W4362617742 hasConcept C177264268 @default.
• W4362617742 hasConcept C187736073 @default.
• W4362617742 hasConcept C199360897 @default.
• W4362617742 hasConcept C202444582 @default.
• W4362617742 hasConcept C2780451532 @default.
• W4362617742 hasConcept C33923547 @default.
• W4362617742 hasConcept C41008148 @default.
• W4362617742 hasConcept C42011625 @default.
• W4362617742 hasConcept C534262118 @default.
• W4362617742 hasConcept C58166 @default.
• W4362617742 hasConcept C71924100 @default.
• W4362617742 hasConcept C9652623 @default.
• W4362617742 hasConcept C98045186 @default.
• W4362617742 hasConceptScore W4362617742C111919701 @default.
• W4362617742 hasConceptScore W4362617742C119857082 @default.
• W4362617742 hasConceptScore W4362617742C124101348 @default.
• W4362617742 hasConceptScore W4362617742C140073362 @default.
• W4362617742 hasConceptScore W4362617742C142724271 @default.
• W4362617742 hasConceptScore W4362617742C154945302 @default.
• W4362617742 hasConceptScore W4362617742C162324750 @default.
• W4362617742 hasConceptScore W4362617742C177264268 @default.
• W4362617742 hasConceptScore W4362617742C187736073 @default.
• W4362617742 hasConceptScore W4362617742C199360897 @default.
• W4362617742 hasConceptScore W4362617742C202444582 @default.
• W4362617742 hasConceptScore W4362617742C2780451532 @default.
• W4362617742 hasConceptScore W4362617742C33923547 @default.
• W4362617742 hasConceptScore W4362617742C41008148 @default.
• W4362617742 hasConceptScore W4362617742C42011625 @default.
• W4362617742 hasConceptScore W4362617742C534262118 @default.
• W4362617742 hasConceptScore W4362617742C58166 @default.
• W4362617742 hasConceptScore W4362617742C71924100 @default.
• W4362617742 hasConceptScore W4362617742C9652623 @default.
• W4362617742 hasConceptScore W4362617742C98045186 @default.
• W4362617742 hasIssue "4" @default.
• W4362617742 hasLocation W43626177421 @default.
• W4362617742 hasOpenAccess W4362617742 @default.
• W4362617742 hasPrimaryLocation W43626177421 @default.
• W4362617742 hasRelatedWork W1123195735 @default.
• W4362617742 hasRelatedWork W1977383971 @default.
• W4362617742 hasRelatedWork W2132193983 @default.
• W4362617742 hasRelatedWork W2155371603 @default.

• next