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[HTML][HTML] Multi-objective optimization modelling of sustainable green supply chain in inventory and production management
The ever increasing pressure to conserve the environment from global warming cannot be
overemphasized. Emission from the inventory and production process contributes …
overemphasized. Emission from the inventory and production process contributes …
Multi-criteria decision analysis for pharmaceutical supplier selection problem using fuzzy TOPSIS
Purpose Supplier selection in the supply chain network (SCN) has strategic importance and
involves multiple factors. The multi-criteria nature of the problem coupled with environmental …
involves multiple factors. The multi-criteria nature of the problem coupled with environmental …
Significance of multi-objective optimization in logistics problem for multi-product supply chain network under the intuitionistic fuzzy environment
Determining the methods for fulfilling the continuously increasing customer expectations and
maintaining competitiveness in the market while limiting controllable expenses is …
maintaining competitiveness in the market while limiting controllable expenses is …
Generalized techniques for solving intuitionistic fuzzy multi-objective non-linear optimization problems
This paper focuses on the methods for the efficient solution of multi-objective non-linear
optimization problems with uncertain parameters represented as intuitionistic fuzzy …
optimization problems with uncertain parameters represented as intuitionistic fuzzy …
A novel interactive approach for solving uncertain bi-level multi-objective supply chain model
MA El Sayed, FA Farahat, MA Elsisy - Computers & Industrial Engineering, 2022 - Elsevier
In this paper, we adopt an interactive approach for bi-level multi-objective supply chain
model (BL-MOSCM). The essential target is to decide the ideal request designation of items …
model (BL-MOSCM). The essential target is to decide the ideal request designation of items …
Decision through novel ranking of generalized symmetric pentagonal interval-valued fuzzy criteria for sustainable regional selection
R Vijayakumar, GS Mahapatra… - Environment …, 2024 - Springer
Making forecasts about the relative sustainability of different geographic places for human
habitation is gaining popularity in today's culture. Every individual is required to fulfil a …
habitation is gaining popularity in today's culture. Every individual is required to fulfil a …
Decision making using novel Fermatean fuzzy divergence measure and weighted aggregation operators
A Umar, RN Saraswat - Journal of Ambient Intelligence and Humanized …, 2024 - Springer
The fuzzy set theory was introduced to handle uncertainty due to imprecision, vagueness
and partial information. Then, its extensions such as intuitionistic fuzzy set, intuitionistic …
and partial information. Then, its extensions such as intuitionistic fuzzy set, intuitionistic …
Solution of interval-valued matrix games using intuitionistic fuzzy optimisation technique: an effective approach
MR Seikh, S Dutta - International Journal of Mathematics in …, 2021 - inderscienceonline.com
In most of the cases in the real world scenario, there are many situations where the payoffs
of a matrix game may vary within specific ranges and may be considered as interval …
of a matrix game may vary within specific ranges and may be considered as interval …
EOQ model with a discount rate of inflation and optimisation with pentagonal fuzzy number
N Rajput, A Chauhan… - International Journal of …, 2021 - inderscienceonline.com
An EOQ model for deteriorating items under inflation over a finite time horizon is to be
discussed here. This article derived a classical and fuzzy model for the effects of …
discussed here. This article derived a classical and fuzzy model for the effects of …
Solving fuzzy shortest path problem with vertex transfer penalties under type-2 fuzzy environment
B Chaini, N Ranarahu - International Journal of …, 2024 - inderscienceonline.com
Shortest path problems have many applications in the field of graph theory. However, the
traditional shortest path algorithms only work in a situation where an edge penalty is a real …
traditional shortest path algorithms only work in a situation where an edge penalty is a real …