تلفن: ۰۴۱۴۲۲۷۳۷۸۱
تلفن: ۰۹۲۱۶۴۲۶۳۸۴

دانلود رایگان مقاله انگلیسی تصمیم گیری چند معیاره لجستیک فازی ناخوشایند در انرژی تجدید پذیر – الزویر ۲۰۱۸

عنوان فارسی: تصمیم گیری چند معیاره لجستیک فازی ناخوشایند در انرژی تجدید پذیر: موردی مطالعاتی در جی لین
عنوان انگلیسی: Linguistic hesitant fuzzy multi-criterion decision-making for renewable energy: A case study in Jilin
تعداد صفحات مقاله انگلیسی : 26 تعداد صفحات ترجمه فارسی : ترجمه نشده
سال انتشار : 2018 نشریه : الزویر - Elsevier
فرمت مقاله انگلیسی : PDF نوع مقاله : ISI
نوع نگارش : مقالات پژوهشی (تحقیقاتی) پایگاه : اسکوپوس
کد محصول : E10523 رفرنس : دارد
محتوای فایل : PDF حجم فایل : Kb 500
رشته های مرتبط با این مقاله: مدیریت، مهندسی صنایع، مهندسی انرژی
گرایش های مرتبط با این مقاله: لجستیک و زنجیره تامین، انرژی های تجدیدپذیر
مجله: مجله تولید پاک - Journal of Cleaner Production
دانشگاه: School of Economics and Management - North China Electric Power University - Beijing - PR China
کلمات کلیدی: انرژی تجدید پذیر؛ مجموعه فازی تامل زبان شناختی؛ مدل ابر؛ انتگرال Choquet
doi یا شناسه دیجیتال: https://doi.org/10.1016/j.jclepro.2017.11.038
برای سفارش ترجمه این مقاله با کیفیت عالی و در کوتاه ترین زمان ممکن توسط مترجمین مجرب سایت ایران عرضه؛ روی دکمه سبز رنگ کلیک نمایید.
چکیده

Abstract

Renewable energy is the inevitable choice for the sustainable development of society and economy. How to select the most appropriate renewable energy for a region is a complex multicriterion decision making (MCDM) problem. Taking Jilin Province as an example, this paper proposes a new MCDM method. In order to better express the hesitancy, inconsistency and uncertainty of decision makers’ preferences, linguistic hesitant fuzzy set (LHFS) is proposed. On the basis of cloud model, the rule of transforming LHFS to quantitative values is defined. Subsequently, the distance measure and support measure are established. In consideration of the interdependency of criteria, an LHFS aggregation operator based on improved Choquet integral is proposed. Finally, the ranking result of the aggregated LHFS corresponding to each renewable energy alternative is obtained according to the expectation values. The result shows that the preferred renewable energy for Jilin is biomass energy, followed by wind energy, hydro energy and solar energy. The validation analysis and comparison analysis are given to demonstrate the effectiveness of the proposed method.

نتیجه گیری

Conclusion

According to Jilin’s five-year plan, renewable energy development is an important issue for government. The selection of renewable energy can be regarded as an MCDM problem. This paper presents an MCDM method with linguistic hesitant fuzzy sets, which combines hesitant fuzzy sets with linguistic fuzzy sets to express the complexity of uncertain environment and the vagueness of human cognition. The proposed approach uses cloud model to handle the randomness and fuzziness from the subjective judgments of experts and defines an improved Choquet integral operator to aggregate LHFSs in consideration of the interdependency of criteria. In terms of Jilin, the most suitable renewable energy is biomass energy, followed by wind energy, hydro energy and solar energy. Subsequently, we adopt three criteria to test the method and compare the method with other methods, verifying the validity and superiority of the proposed method. The main contributions of this paper are: (1) It introduces LHFS to express the evaluation information of renewable energy MCDM problem, which is the first application of LHFS in renewable energy selection. (2) It defines an improved Choquet integral operator to aggregate LHFSs. Based on the defined operator and cloud model, a new MCDM method with universality is proposed, which can be applied to not only renewable energy selection problem but also other MCDM problems. (3) It uses the concept of comprehensive cloud instead of the deviation of decision results by extending the shorter LHFS.

محصولات مشابه