Sürdürülebilir Kalkınma Amaçları

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• MakaleYalnız künye2022Scopus SJRQ2/r/munzur/2996
  Interval basic uncertain information and related aggregations in decision making

  Jin, Lesheng; Mesiar, Radko; Yager, Ronald; Kaya, Sema Kayapinar

  The recently proposed basic uncertain information can directly present numerical uncertainties for given real values, but it cannot handle given interval values which themselves also have uncertainties. Against this background, this work proposes the concept of interval basic uncertain information which serves as a generalization of basic uncertain information and involves two types of uncertainties. We analyze some basic operations, weighted arithmetic mean and preference transformation for interval basic uncertain information. The Rule-based decisions and the comprehensive certainty of interval basic uncertain information are also discussed. An illustrative example of multi-source multi-criteria evaluation under interval basic uncertain information environment is presented.

  AtıfScopus18·OpenAlex17

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• MakaleYalnız künye2020Scopus SJRQ2/r/munzur/3770
  Optimization of open channels using particle swarm optimization algorithm

  Saplioglu, Kemal; Ozturk, Tulay Sugra Kucukerdem; Acar, Ramazan

  Due to recent increasing water demand, planning and projecting of water resources has resulted in increased costs. There-fore, it is important to obtain optimum results in project planning. In this study, dimensioning of open channels used espe-cially for irrigation purposes has been studied using a particle swarm optimization algorithm to investigate optimum base width, channel height, and slope angles. The results are summarized in graphs and tables. In the study, it was found that the optimum slope angle varied between 0. 200. 45. Furthermore, it was found that increasing the slope angle significant-ly increased costs. Finally, the increase in flow increases costs but the rate of increase diminishes.

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  AtıfScopus6·WoS6·OpenAlex9

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