A novel method for solving neutrosophic data envelopment analysis models based on single-valued trapezoidal neutrosophic numbers

KK Mohanta, DS Sharanappa - Soft computing, 2023 - Springer
Neutrosophic data envelopment analysis (Neu-DEA) is a mathematical tool for calculating
the performance of decision-making units (DMUs) in a neutrosophic environment. In this …

[图书][B] Neutrosophic data envelopment analysis based on the possibilistic mean approach

KK Mohanta, DS Sharanappa, VN Mishra - 2023 - books.google.com
Data envelopment analysis (DEA) is a non-parametric approach for the estimation of
production frontier that is used to calculate the performance of a group of similar decision …

Designing an Intuitionistic Fuzzy Network Data Envelopment Analysis Model for Efficiency Evaluation of Decision‐Making Units with Two‐Stage Structures

N Javaherian, A Hamzehee… - Advances in fuzzy …, 2021 - Wiley Online Library
Data envelopment analysis (DEA) is a powerful tool for evaluating the efficiency of decision‐
making units for ranking and comparison purposes and to differentiate efficient and …

A novel technique for solving intuitionistic fuzzy DEA model: an application in Indian agriculture sector

KK Mohanta, DS Sharanappa - Management System Engineering, 2023 - Springer
Fuzzy DEA is a performance measurement tool that is used to assess the performance of
DMUs in highly uncertain environments. In this article, the Intuitionistic fuzzy DEA (IFDEA) …

[PDF][PDF] Enhanced performance evaluation through neutrosophic data envelopment analysis leveraging pentagonal neutrosophic numbers

KK Mohanta, O Toragay - Journal of operational and strategic …, 2023 - researchgate.net
Neutrosophic sets, expanded from the constructs of fuzzy and intuitionistic fuzzy sets, can
accommodate degrees of truth, indeterminacy, and falsity for each element. This attribute …

DPSIR framework priorities and its application to forest management: a fuzzy modeling

M Zandebasiri, P Groselj, H Azadi, F Serio… - Environmental …, 2021 - Springer
The main aim of this research was to quantify the parameters related to forest situation
(according to DPSIR framework) using decision-making processes and fuzzy methods in the …

Development of a bounded two-stage data envelopment analysis model in the intuitionistic fuzzy environment

SM Ardakani, HB Meybodi… - Advances in Operations …, 2022 - search.proquest.com
Abstract Data Envelopment Analysis is a powerful tool for evaluating the efficiency of
decision-making units for the purpose of ranking, comparing, and differentiating efficient and …

AI-Driven Decision Support System for Intuitionistic Fuzzy Assignment Problems

PS Kumar - Using Traditional Design Methods to Enhance AI …, 2024 - igi-global.com
The assignment problem (AP) is a well-known optimization problem that deals with the
allocation of'n'jobs to'n'machines on a 1-to-1 basis. It minimizes the cost/time or maximizes …

Centroid and Graded Mean Ranking Methods for Intuitionistic Trapezoidal Dense Fuzzy Set to Solve MCDM Problems of Robot Selection

S Sampathkumar, F Augustin… - International Journal of …, 2024 - Springer
Fuzzy ranking plays a vital role in decision-making problems and various fuzzy applications.
There are plenty of ranking methods that are used to rank fuzzy numbers. However, they fail …

Hexagonal fuzzy number inadvertences and its applications to MCDM and HFFLS based on complete ranking by score functions

VLG Nayagam, J Murugan, K Suriyapriya - Computational and Applied …, 2020 - Springer
Zadeh introduced fuzzy set theory in the year 1965 to overcome the enigma and obscurity in
the real world problems. The underlying power of fuzzy sets is that linguistic/qualitative …