Orhan Dalkiliç

Orcid: 0000-0003-3875-1398

According to our database1, Orhan Dalkiliç authored at least 15 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Decision-making approaches focusing on best parameter-object pair for soft set.
Neural Comput. Appl., July, 2025

Novel hybrid soft set theories focusing on decision-makers by considering the factors affecting the parameters.
J. Exp. Theor. Artif. Intell., July, 2025

Similarity measures of neutrosophic fuzzy soft set and its application to decision making.
J. Exp. Theor. Artif. Intell., April, 2025

2024
Determining interactions between objects from different universes: (inverse) object interaction set for binary soft sets.
Soft Comput., November, 2024

Mathematical analysis of parameters belonging to the universe in the soft set theory with new distance measures.
J. Intell. Fuzzy Syst., February, 2024

2023
Evaluation of medical diagnosis of prostate cancer based on fuzzy TOPSIS-database interaction.
Comput. Appl. Math., October, 2023

Algorithms for Covid-19 outbreak using soft set theory: estimation and application.
Soft Comput., March, 2023

A novel perspective for Q-neutrosophic soft relations and their application in decision making.
Artif. Intell. Rev., February, 2023

2022
A mathematical model to the inadequacy of bipolar soft sets in uncertainty environment: N-polar soft set.
Comput. Appl. Math., December, 2022

Decision analysis review on the concept of class for bipolar soft set theory.
Comput. Appl. Math., July, 2022

Determining the membership degrees in the range (0, 1) for hypersoft sets independently of the decision-maker.
Int. J. Syst. Sci., 2022

A decision-making approach to reduce the margin of error of decision makers for bipolar soft set theory.
Int. J. Syst. Sci., 2022

Approaches that take into account interactions between parameters: pure (fuzzy) soft sets.
Int. J. Comput. Math., 2022

2021
Relations on neutrosophic soft set and their application in decision making.
J. Appl. Math. Comput., October, 2021

A novel approach to soft set theory in decision-making under uncertainty.
Int. J. Comput. Math., 2021


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