Fuzzy Linear Physical Programming for Multiple Criteria Decision-Making Under Uncertainty

El-Sayed, Ahmed; Kongar, Elif; Gupta, Surendra M.

doi:10.15837/ijccc.2016.1.2083

Cited by 5 publications

(3 citation statements)

References 19 publications

(16 reference statements)

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“…Among the linear programming methods, the LPP method is one of the typical preference-based algorithms that is often used with dynamic weight for multi-objective collaborative optimisation [27]. The LPP method has been applied in more environments [28][29][30] or integrated into other methods [31][32][33][34]. Therefore, in this paper, we use LPP to analyse QoS to solve WSSIs by simplifying the process of WSS.…”

Section: Literature Reviewmentioning

confidence: 99%

Study of a linear-physical-programming-based approach for web service selection under uncertain service quality

Yu¹,

Yan²,

2022

Applied Mathematics and Nonlinear Sciences

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To promote the practical use of web service technologies, it is critical to select a proper web service that will meet users’ preferences from a pool of web services with similar functions. It is usually a core issue during web service selection to describe and evaluate the quality of these web services. Average value can be employed to describe certain service quality and to evaluate the quality with multiple criteria through the Simple Additive Weight Method. Based on an analysis of various deficiencies in existing approaches proposed in some studies, four indicators were used: Price, Response Time, Reliability and Credibility. On top of that, recent sampling data sets were introduced to describe the uncertain quality of service (QoS) criteria; linear physical programming was used to evaluate QoS with comprehensive criteria to meet the need to objectively describe uncertain QoS criteria, and preference regions were set to adapt to interval characteristics of criteria. Finally, a computational example is provided to demonstrate the feasibility and effectiveness of the method.

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Section: Literature Reviewmentioning

confidence: 99%

Study of a linear-physical-programming-based approach for web service selection under uncertain service quality

Yu¹,

Yan²,

2022

Applied Mathematics and Nonlinear Sciences

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“…It is common that information is related to multiple aspects in many applications [9,23,51]. Actually, evaluating and selecting suppliers is a multi-criteria decision making problem [18,48]. It is usually inevitable that information contains some uncertainty when the suppliers are evaluated by human judge.…”

Section: Introductionmentioning

confidence: 99%

A Multi-criteria Decision-making Model for Evaluating Suppliers in Green SCM

Jiang

Chan

2018

INT J COMPUT COMMUN

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In order to develop recycle economy and friendly saving environment, many business enterprises have deployed green supply chain management (GSCM) practices. By employing related theorise of GSCM, organizations expect to minimize the environment impact caused by their commercial and industrial activities in supply chain. Different suppliers may provide different GSCM practices, so evaluating their GSCM performance to rank the green suppliers is an important aspect in practice. In this paper, a novel decision method named fuzzy generalized regret decision-making method is proposed. The fuzzy generalized regret decision-making method is based on ordered weighted averaging (OWA) operator, which is used to effectively aggregate individual regrets related to all stats of nature for an alternative under fuzzy decision-making environment. By combing the proposed method with the application background of GSCM practices, a novel fuzzy decision model for evaluating GSCM performance is further proposed. In the proposed model, the regret of decision maker is taken into consideration with an aim of minimizing the dissatisfaction when choosing the best green supplier. Individual regrets related to all criteria for a green supplier are aggregated to obtain effective regret. Finally, the green suppliers can be ranked according to the effective regrets. A numerical example is used to illustrate the effectiveness of the proposed method.

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“…Similarly, all the three layers of quantitative criteria are used for assessing services provided by municipal companies. As returns are typically not considered in the case of garbage collection, quality of customer service and timely deliveries are used as measures to assess effectiveness of the corresponding supply chain (Cronin, Taylor 1992;Bienstock et al 1997;Brown et al 1993;DeCarlo, Leigh 1996;Mardani et al 2016;Velychko 2015;ElSayed et al 2016;Zhou et al 2015). Other effectiveness measures in supply chains are related to warehousing and transport processes, but these are applied to other entities than municipal company.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Efficiency of Assignment of Vehicles to Tasks in Supply Chains: A Case Study of a Municipal Company

2017

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The main purpose of the paper is to present criteria of efficiency of assignment of vehicles to tasks at municipal companies, which collect garbage from city inhabitants. Three types of criteria are introduced in the paper: garbage collection time, length of route allocation, and utilization of resources. A two-stage method of optimization of taskroutes is proposed. It generates tasks at the first stage and assigns vehicles to the tasks at the second stage. At municipal companies that are responsible for garbage, collection tasks are not pre-defined, and consequently tasks must be designated before the workday. The proposed method is based on genetic algorithm, which is used for the purpose of optimization of the assignment problem. The obtained by the algorithm optimal assignment is compared with assignments obtained in the random way. Criteria of evaluation of efficiency of the obtained route of different mutually conflicting dimensions were introduced, such as is task realization time, distances travelled on particular routes, and number of vehicles involved in garbage collection. Efficiency of the obtained assignment appeared to be sufficiently good.

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Fuzzy Linear Physical Programming for Multiple Criteria Decision-Making Under Uncertainty

Cited by 5 publications

References 19 publications

Study of a linear-physical-programming-based approach for web service selection under uncertain service quality

Study of a linear-physical-programming-based approach for web service selection under uncertain service quality

A Multi-criteria Decision-making Model for Evaluating Suppliers in Green SCM

Assessment of Efficiency of Assignment of Vehicles to Tasks in Supply Chains: A Case Study of a Municipal Company

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