Using Interval Operations in the Hungarian Method to Solve the Fuzzy Assignment Problem and Its Application in the Rehabilitation Problem of Valuable Buildings in Egypt
Abstract:Assignment problem (AP) is an entrenched tool for solving engineering and management problems. The Hungarian method is always used to fathom the AP in crisp cases. This paper presents an algorithm of finding the optimum solution of the fuzzy AP by using the modified Hungarian method. This method is utilized to get a minimum assignment cost in the fuzzy environment for a fuzzy AP. Firstly, we use the fuzzy numbers without any transformation. Secondly, the fuzzy AP is transformed into an interval AP based on the… Show more
“…They considered the decision-making process for reducing a set of all suppliers to a smaller set of eligible suppliers. Elsisy et al ( 2020 ) presented a new algorithm for finding the optimum solution of the fuzzy assignment problem applying the Hungarian method, and it showed high efficiency through the practice in reuse of valuable buildings in Egypt. Assisting the DM to dissect the situations of uncertain judgment, El Sayed et al ( 2022 ) proposed a new approach that can directly capture uncertainty aspects.…”
With the recent focus on supply risk management in sustainable supply chains, it is more important than ever to evaluate and select the right sustainable suppliers from a supply risk perspective. However, few existing studies consider supply risks from the perspective of all three triple-bottom-line dimensions at the same time. To bridge this research gap, this research constructs a supply risk perspective integrated sustainable supplier selection model in the intuitionistic fuzzy environment. First of all, the weights of decision-makers in the decision-making group are obtained by intuitionistic fuzzy set. Secondly, after obtaining the aggregated intuitionistic fuzzy decision matrix considering the weight of decision-makers, the fuzzy entropy weight method is used to calculate criteria weight, objectively. Then, an improved failure mode and effects analysis is used to undertake risk assessments and to identify high-risk suppliers. Last but not least, the extended alternative queuing method is adopted to rank the eligible sustainable suppliers in the intuitionistic fuzzy environment. The proposed model not only reduces the uncertainty of decision-making in sustainable supplier selection, but also enables focal companies to reduce supply risk in their sustainable supplier selection practices and prevent the failure modes that relate to supply risk. The practicality and effectiveness of the proposed model are verified through an empirical illustration in a leading electrical appliance manufacturer in China.
“…They considered the decision-making process for reducing a set of all suppliers to a smaller set of eligible suppliers. Elsisy et al ( 2020 ) presented a new algorithm for finding the optimum solution of the fuzzy assignment problem applying the Hungarian method, and it showed high efficiency through the practice in reuse of valuable buildings in Egypt. Assisting the DM to dissect the situations of uncertain judgment, El Sayed et al ( 2022 ) proposed a new approach that can directly capture uncertainty aspects.…”
With the recent focus on supply risk management in sustainable supply chains, it is more important than ever to evaluate and select the right sustainable suppliers from a supply risk perspective. However, few existing studies consider supply risks from the perspective of all three triple-bottom-line dimensions at the same time. To bridge this research gap, this research constructs a supply risk perspective integrated sustainable supplier selection model in the intuitionistic fuzzy environment. First of all, the weights of decision-makers in the decision-making group are obtained by intuitionistic fuzzy set. Secondly, after obtaining the aggregated intuitionistic fuzzy decision matrix considering the weight of decision-makers, the fuzzy entropy weight method is used to calculate criteria weight, objectively. Then, an improved failure mode and effects analysis is used to undertake risk assessments and to identify high-risk suppliers. Last but not least, the extended alternative queuing method is adopted to rank the eligible sustainable suppliers in the intuitionistic fuzzy environment. The proposed model not only reduces the uncertainty of decision-making in sustainable supplier selection, but also enables focal companies to reduce supply risk in their sustainable supplier selection practices and prevent the failure modes that relate to supply risk. The practicality and effectiveness of the proposed model are verified through an empirical illustration in a leading electrical appliance manufacturer in China.
“…The problem stated above forms a special case of the generalized assignment problem (GAP) [1,2,[4][5][6][7][8][9], which is concerned with combinatorial optimization [10,11]. One of the most challenging issues in combinatorial optimization is to effectively deal with the combinatorial explosion [10,11].…”
School carnival is one of the most important activities for the school anniversary celebration. A good allocation of booths may determine success or failure of this activity. In dealing with the allocation of booths in the school carnival, drawing lots is among the most popular ways to determination of the booth locations. This way is easy to do, but there are some flaws. For example, it leaves out the preferences of the student groups and cannot fulfil most of them. Consequently, quite a lot of students may feel that they are not respected. To improve this situation, we present an educative approach, which is fair and can satisfy the most students' preferences, to booth assignment of a school carnival. First, we provide the layout to student groups to realize where they want to set up their booths. Second, according to their preferences, we present a mathematical model which aims to meet most student groups' preferences. Finally, we employ genetic algorithm (GA) to get feasible solutions. Results based on a number of experiments show that the proposed approach can easily generate a number of good solutions which satisfy the preferences of most student groups.
“…Ref. [5] established a modified Hungarian method-based algorithm for identifying the best fuzzy AP solution presented. For a fuzzy AP, this approach is used to determine the lowest assignment cost possible.…”
This paper hinges upon the subject of an (n × n) assignment problem and the distinct symmetric fuzzy assignment problem byassigning n machines to n jobs. One’s orientation algorithm is developed for solving the assignment problems based on the position of one’s chosen in every row as well as every column to perform allocations and obtain the assignment cost at every (n − 1) reduced matrix. We also extended the two different symmetric concept to the problem to find the optimum solution based on symmetrical data and also used the ranking concept in our fuzzy assignment problem. In this proposed algorithm, the one’s position is associated with the successor of one in each iteration toobtain the optimal schedule and assignment cost. The comparative analysis is properly considered and discussed. The proposed technique is elaborated with the help of numerical computations and it gives clarity to the idea of this concept.
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