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| 1 | A heuristic approach for allocation of data to RFID tags:A data allocation knapsack problem (DAKP)显示文摘 | Davis L Samanlioglu F Jiang X | | 0，，： | 1 |
| 2 | Computing trade-offs in robust design: Perspectives of the mean squared error显示文摘 | Shin Sangmun Samanlioglu Funda Cho Byung Rea | 2011 | Computers & Industrial Engineering2011，60，： | 1 |
| 3 | A memetic random-key genetic algorithm for a symmetric muhi -objective traveling salesman problem显示文摘 | Samanlioglu F Ferrell W G J Kurz M E | 2008 | Computers & Industrial Engineering2008，55，2： | 1 |
| 4 | A multi-objective mathematical model for the industrial hazardous waste location- routing problem显示文摘 | Samanlioglu F | 2013 | European Journal of Operational Research2013，226，2： | 1 |
| 5 | A heuristic ap-proach for allocation of data to RFID tags:a data allocation knapsackproblem(DAKP)显示文摘 | DAVIS L SAMANLIOGLU F JIANG X C | 2012 | Computers&Operations Research2012，39，2： | 1 |
| 6 | A Memetic Random-key Genetic Algorithm for a Symmetric Multi-objective Traveling Salesman Problem 显示文摘 | SAMANLIOGLU F FERRELL J W G KURZ M E | 2008 | Computers & Industrial Engineering2008，55，12： | 1 |
| 7 | Determination of epidemic parameters from early phase fatality data: A case study of the 2009 A(H1N1) pandemic in Europe显示文摘 | Ayse Humeyra Bilge Funda Samanlioglu | 2018 | International Journal of Biomathematics2018，11，2： | 1 |
| 8 | A fuzzy QFD ap- proach to determine supply chain management strategies in the dairy industry显示文摘 | Zeki Aya Funda Samanlioglu G tt lin B tl y ti kSzkan | 2013 | Jounal of intelligent manufacturing2013，，24： | 1 |
| 9 | Computing tradeoffs in ro- bust design: perspectives of the mean squared error显示文摘 | Shin S Samanlioglu F Cho B R | 2011 | Comput- ers & Industrial Engineering2011，60，2： | 1 |
| 10 | A multi-objective mathematical model for the industrial hazardous waste 10cation-routing problem 显示文摘 | Samanlioglu F | 2013 | European Journal of Operational Research2013，226，2： | 1 |
| 11 | A hesitant fuzzy linguistic terms set-based AHP-TOPSIS approach to evaluate ERP software packages显示文摘Purpose–In this paper,two popular multiple-criteria decision-making(MCDM)methods with hesitant fuzzy logic approach;hesitant fuzzy analytic hierarchy process(hesitant F-AHP)and hesitant fuzzy the technique for order preference by similarity to ideal solution(HF-TOPSIS)are integrated as HF-AHP-TOPSIS to evaluating a set of enterprise resource planning(ERP)alternatives and rank them by weight to reach to the ultimate one that satisfies the needs and expectations of a company.Design/methodology/approach–Selecting the best ERP software package among the rising number of the options in market has been a critical problem for most companies for a long time because of the reason that an improper ERP software package might lead to many issues(i.e.time loss,increased costs and a loss of market share).On the other hand,finding the best ERP alternative is a comprehensive MCDM problem in the presence of a set of alternatives and several potentially competing quantitative and qualitative criteria.Findings–In this integrated approach,the hesitant F-AHP is used to determine the criteria weights,as the hesitant F-TOPSIS is utilized to rank ERP package alternatives.The proposed approach was also validated in a numerical example that has five ERP package alternatives and 12 criteria by three decision-makers in order to show its applicability to potential readers and practitioners.Research limitations/implications–If the number of the alternatives and criteria are dramatically increased beyond reasonable numbers,the reaching to final solution will be so difficult because of the great deal of fuzzy based calculations.Therefore,the number of criteria and alternatives should be at reasonable numbers.Practical implications–The proposed approach was also validated in a illustrated example with the five ERP package options and 12 criteria by the three decision-makers in order to show its applicability to potential readers and practitioners.Originality/value–Furthermore,in literature,to the best of our knowledge,the authors did not come cross any work that integrates the HF-AHP with the HF-TOPSIS for ERP software package selection problem. | Zeki Ayag Funda Samanlioglu | 2021 | International Journal of Intelligent Computing and Cybernetics2021，14，1： | 0 |
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