Supplier selection using ANP and ELECTRE II in interval 2-tuple linguistic environment
TL;DR: A novel hybrid method is presented for MCDM with two-level criteria under interval 2-tuple linguistic environment and a novel hybrid process integrating TL-ANP and IT-ELECTRE II is developed.
About: This article is published in Information Sciences.The article was published on 2017-04-01. It has received 167 citations till now. The article focuses on the topics: Multiple-criteria decision analysis & ELECTRE.
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TL;DR: A novel model that integrates the best–worst method (BWM), modified fuzzy technique for order preference by similarity to ideal solution (TOPSIS), and fuzzy multi-objective linear programming (FMOLP) to solve problems in green supplier selection and order allocation is proposed.
188 citations
TL;DR: A novel hybrid approach by integrating fuzzy DEMATEL and Taguchi loss functions for evaluating and ranking sustainable suppliers and a new bi-objective model considering the issue of lost sales has been proposed for order allocation phase for the first time in literature.
144 citations
TL;DR: An innovative MCDM model for sustainable supplier selection is reported by integrating best-worst method (BWM) and alternative queuing method (AQM) within the interval-valued intuitionistic uncertain linguistic setting.
143 citations
TL;DR: This paper puts forward an ELECTRE II method with the probabilistic linguistic information to handle the edge node selection problem and compares with previous methods to verify the superiority of this method.
Abstract: The edge node selection problem in edge computing is a typical multi-criteria group decision-making problem. In this paper, we put forward an ELECTRE II method with the probabilistic linguistic information to handle the edge node selection problem. First, a novel distance measure is developed for probabilistic linguistic term sets (PLTSs) and an entropy measure is devised to measure the uncertainty degree of PLTSs. Based on the score value and entropy, a novel method is put forward to compare two PLTSs. Next, a weight-determining method for criteria based on multiple correlation coefficient and a weight-determining method for experts based on entropy theory are proposed. After that, a novel probabilistic linguistic ELECTRE II method is put forward to deal with the edge node selection problem. Comparison with previous methods is provided to verify the superiority of our method.
127 citations
TL;DR: In this paper, the authors used an integrated approach that combines geographic information system (GIS), analytic network process (ANP), and remote sensing derived variables for flood susceptibility assessment and mapping.
Abstract: Understanding factors associated with flood incidence could facilitate flood disaster control and management. This paper assesses flood susceptibility of Perlis, Malaysia for reducing and managing their impacts on people and the environment. The study used an integrated approach that combines geographic information system (GIS), analytic network process (ANP), and remote sensing (RS) derived variables for flood susceptibility assessment and mapping. Based on experts’ opinion solicited via ANP survey questionnaire, the ANP mathematical model was used to calculate the relative weights of the various flood influencing factors. The ArcGIS spatial analyst tools were used in generating flood susceptible zones. The study found zones that are very highly susceptible to flood (VHSF) and those highly susceptible to flood (HSF) covering 38.4% (30,924.6 ha) and 19.0% (15,341.1 ha) of the study area, respectively. The results were subjected to one-at-a-time (OAT) sensitivity analysis to verify their stability, where 6 out of the 22 flood scenarios correlated with the simulated spatial assessment of flood susceptibility. The findings were further validated using real-life flood incidences in the study area obtained from satellite images, which confirmed that most of the flooded areas were distributed over the VHSF and HSF zones. This integrated approach enables network model structuring, and reflects the interdependences among real-life flood influencing factors. This accurate identification of flood prone areas could serve as an early warning mechanism. The approach can be replicated in cities facing flood incidences in identifying areas susceptible to flooding for more effective flood disaster control.
119 citations
References
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01 Jan 1985
TL;DR: Analytic Hierarchy Process (AHP) as mentioned in this paper is a systematic procedure for representing the elements of any problem hierarchically, which organizes the basic rationality by breaking down a problem into its smaller constituent parts and then guides decision makers through a series of pairwise comparison judgments to express the relative strength or intensity of impact of the elements in the hierarchy.
Abstract: This chapter provides an overview of Analytic Hierarchy Process (AHP), which is a systematic procedure for representing the elements of any problem hierarchically. It organizes the basic rationality by breaking down a problem into its smaller constituent parts and then guides decision makers through a series of pair-wise comparison judgments to express the relative strength or intensity of impact of the elements in the hierarchy. These judgments are then translated to numbers. The AHP includes procedures and principles used to synthesize the many judgments to derive priorities among criteria and subsequently for alternative solutions. It is useful to note that the numbers thus obtained are ratio scale estimates and correspond to so-called hard numbers. Problem solving is a process of setting priorities in steps. One step decides on the most important elements of a problem, another on how best to repair, replace, test, and evaluate the elements, and another on how to implement the solution and measure performance.
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TL;DR: The Analytic Network Process is particularly useful to project the future of a group or company considering all the influences and risks: economic, social, political, technological, environmental, and others.
Abstract: Decision Making with Dependence and Feedback: The Analytic Network Process : the Organization and Prioritization of Complexity #370 pages #2001 #Thomas L. Saaty #Rws Publications, 2001 #0962031798, 9780962031793 #This book shows how to make decisions when alternatives depend on criteria, but also the criteria depend on the alternatives. It shows how to cope with dependence between different groups of people, goals and criteria. The Analytic Network Process is particularly useful to project the future of a group or company considering all the influences and risks: economic, social, political, technological, environmental, and others. Accompanying ANP software is under development. file download xaxotav.pdf
3,095 citations
TL;DR: This paper develops a computational technique for computing with words without any loss of information in the 2-tuple linguistic model and extends different classical aggregation operators to deal with this model.
Abstract: The fuzzy linguistic approach has been applied successfully to many problems. However, there is a limitation of this approach imposed by its information representation model and the computation methods used when fusion processes are performed on linguistic values. This limitation is the loss of information; this loss of information implies a lack of precision in the final results from the fusion of linguistic information. In this paper, we present tools for overcoming this limitation. The linguistic information is expressed by means of 2-tuples, which are composed of a linguistic term and a numeric value assessed in (-0.5, 0.5). This model allows a continuous representation of the linguistic information on its domain, therefore, it can represent any counting of information obtained in a aggregation process. We then develop a computational technique for computing with words without any loss of information. Finally, different classical aggregation operators are extended to deal with the 2-tuple linguistic model.
2,353 citations
TL;DR: F fuzzy preference orderings are defined as fuzzy binary relations satisfying reciprocity and max-min transitivity and those orderings might be useful for proceeding the group decision making process smoothly, in the same manner as the extended contributive rule method.
1,074 citations
TL;DR: A hybrid fuzzy multi criteria decision making model that can assist in evaluating green suppliers is proposed that combines DEMATEL, ANP and TOPSIS methods in a fuzzy context and a case study is proposed for green supplier evaluation in a specific company, namely Ford Otosan.
Abstract: Highlights? This study proposes a hybrid fuzzy multi criteria decision making model that can assist in evaluating green suppliers. ? The proposed model integrates DEMATEL, ANP and TOPSIS methods in a fuzzy context. ? Ford Otosan is selected as a case company in this study for the evaluation of green supplier alternatives. ? The supplied case study provides additional insights for research and practical applications. It is well known that "green" principles and strategies have become vital for companies as the public awareness increased against their environmental impacts. A company's environmental performance is not only related to the company's inner environmental efforts, but also it is affected by the suppliers' environmental performance and image. For industries, environmentally responsible manufacturing, return flows, and related processes require green supply chain (GSC) and accompanying suppliers with environmental/green competencies. During recent years, how to determine suitable and green suppliers in the supply chain has become a key strategic consideration. Therefore this paper examines GSC management (GSCM) and GSCM capability dimensions to propose an evaluation framework for green suppliers. However, the nature of supplier selection is a complex multi-criteria problem including both quantitative and qualitative factors which may be in conflict and may also be uncertain. The identified components are integrated into a novel hybrid fuzzy multiple criteria decision making (MCDM) model combines the fuzzy Decision Making Trial and Evaluation Laboratory Model (DEMATEL), the Analytical Network Process (ANP), and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) in a fuzzy context. A case study is proposed for green supplier evaluation in a specific company, namely Ford Otosan.
820 citations