Fuzzy Hungarian Approach for Transportation Model

Patil, A. C.; Chandgude, S. B.

doi:10.47893/ijmie.2013.1092

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…The Hungarian Fuzzy approach in solving transportation problems with the same number of sources as the destinations was carried out by (Patil and Chandgude, 2012). The type of fuzzy numbers used was triangular fuzzy numbers (TFN) and the problem was solved using the MODI method.…”

Section: B Literature Review 1 Earlier Researchmentioning

confidence: 99%

“…JURNAL VARIAN | e-ISSN: 2581-2017 Solving a more general fuzzy assignment problem, namely fuzzy transportation, has been carried out by several researchers such as (Patil and Chandgude, 2012), (Malini and Kennedy, 2013), and (Hunwisai and Kumam, 2017). These researchers solved the fuzzy transportation problem in two stages, namely determining a feasible solution and then ending with determining the optimal solution.…”

Section: A Introductionmentioning

confidence: 99%

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Soraya¹

2022

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The eyes are one of the vital organs owned by humans. One of the common eye diseases is cataracts. This disease is characterized by clouding of the lens of the eye and can interfere with vision. Worst case, sufferers can experience blindness. Cataract maturity can be divided into four categories, namely incipient, immature, mature, and hypermature. Cataracts can be removed through surgery when the cataract is in the mature or hypermature phase. Cataract examination is usually done using a slit lamp. The lack of hospitals that have this equipment can cause delays in the healing process for cataract sufferers. This study created an image processing algorithm for the maturity classification process of cataracts using the Convolutional Neural Network method with LeNet network architecture. The algorithm that has been built is capable of classifying the maturity of cataracts with an accuracy rate of 93.33%.

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Section: B Literature Review 1 Earlier Researchmentioning

confidence: 99%

Section: A Introductionmentioning

confidence: 99%

Jurnal Varian Full Text

Soraya¹

2022

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“…Gani et al [2] used Arsham and Khan's simplex algorithm [16] to find a fuzzy optimal solution of FTPs with trapezoidal fuzzy parameters. Patil and Chandgude, in 2012, performed ªFuzzy Hungarian approachº for TP with trapezoidal FNs [7]. A modified Vogel's approximation method for finding an optimal solution of FTPs was proposed in [8].…”

Section: Introductionmentioning

confidence: 99%

Two-Stage Intuitionistic Fuzzy Transportation Problem through the Prism of Index Matrices

Traneva¹,

Tranev²

2021

Position and Communication Papers of the 16th Conference on Computer Science and Intelligence Systems

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ÐIn today's market environment not all the parameters of the transportation problems may not be known precisely. Uncertain data can be represented by fuzzy sets (FSs). Intuitionistic FSs (IFSs) are an extension of FSs with a degree of hesitancy. The paper presents a new approach for solution of a two-stage intuitionistic fuzzy transportation problem (2-S IFTP) through the prism of index matrices (IMs). Its main objective is to find the quantities of delivery from manufacturers and resselers to buyers to maintain the supply and demand requirements at the cheapest transportation costs. The solution procedure is demonstrated by a numerical example.

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“…A comparative analysis on the FTPs [42] was made and the conclusion has given that the zero point method is better than both the modified distribution method and Vogel's Approximation method. Patil and Chandgude, in 2012, performed "Fuzzy Hungarian approach" for TP with trapezoidal FNs [7]. Aggarwal and Gupta, in 2013, described an procedure for solving intuitionistic fuzzy TP (IFTP) with trapezoidal IFNs via ranking method [14].…”

Section: Introductionmentioning

confidence: 99%

Intuitionistic Fuzzy Transportation Problem by Zero Point Method

Traneva¹,

Tranev²

2020

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems

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The transportation problems (TPs) support the optimal management of the transport deliveries. In classical TPs the decision maker has information about the crisp values of the transportation costs, availability and demand of the products. Sometimes in the parameters of TPs in real life there is ambiguity and vagueness caused by uncontrollable market factors.Uncertain values can be represented by fuzzy sets (FSs) of Zadeh. The FSs have the degrees of membership and nonmembership. The concept of intuitionistic fuzzy sets (IFSs) originated in 1983 as an extension of FSs. Atanasov's IFSs also have a degree of hesitansy to representing the obscure environment.In this paper we formulate the TP, in which the transportation costs, supply and demand values are intuitionistic fuzzy pairs (IFPs), depending on the diesel prices, road condition, weather and other factors. Additional constraints are included in the problem: limits for the transportation costs. Its main objective is to determine the quantities of delivery from producers to buyers to maintain the supply and demand requirements at the cheapest transportation costs. The aim of the paper is to extend the fuzzy zero point method (FZPM [35]) to the intuitionistic FZPM (IFZPM) to find an optimal solution of the intuitionistic fuzzy TP (IFTP) using the IFSs and index matrix (IM) concepts, proposed by Atanassov. The solution algorithm is demonstrated by a numerical example. Its optimal solution is compared with that obtained by the intuitionistic fuzzy zero suffix method (IFZSM). This work on Sect. I and Sect. II is supported by the project of Asen Zlatarov University under Ref. No. NIX-423/2019 "Innovative methods for extracting knowledge management" The work on Sect. III and Sect. IV is supported by the Ministry of Education and Science under the Programme "Young scientists and postdoctoral students", approved by DCM # 577/17.08.2018.

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Fuzzy Hungarian Approach for Transportation Model

Cited by 3 publications

References 7 publications

Jurnal Varian Full Text

Jurnal Varian Full Text

Two-Stage Intuitionistic Fuzzy Transportation Problem through the Prism of Index Matrices

Intuitionistic Fuzzy Transportation Problem by Zero Point Method

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