روش تصمیم گیری چند صفتی با نقاط مرجع دوگانه
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روش تصمیم گیری چند صفتی با نقاط مرجع دوگانه

عنوان فارسی مقاله: روش تصمیم گیری چند صفتی با نقاط مرجع دوگانه و کاربرد آن در موقعیت مرکز لجستیک محصولات کشاورزی
عنوان انگلیسی مقاله: A Method of Multi-Attribute Decision Making With Double-Reference Points and Its Application in Location of Agricultural Products Logistics Center
مجله/کنفرانس: دسترسی – IEEE Access
رشته های تحصیلی مرتبط: مهندسی صنایع، مهندسی کشاورزی
گرایش های تحصیلی مرتبط: لجستیک و زنجیره تامین، اقتصاد کشاورزی
کلمات کلیدی فارسی: نقاط مرجع دوگانه، انحراف زیانی، تصمیم گیری چند صفتی، سودمندی، مرکز لجستیک محصولات کشاورزی
کلمات کلیدی انگلیسی: Double reference points (DRPs), loss aversion, multi-attribute decision-making (MADM), utility, agricultural product logistic center
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus – Master Journals List – JCR
شناسه دیجیتال (DOI): https://doi.org/10.1109/ACCESS.2019.2954377
دانشگاه: College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
ناشر: آی تریپل ای - IEEE
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
ایمپکت فاکتور: 4.641 در سال 2018
شاخص H_index: 56 در سال 2019
شاخص SJR: 0.609 در سال 2018
شناسه ISSN: 2169-3536
شاخص Quartile (چارک): Q2 در سال 2018
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 10
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E14038
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست انگلیسی مطالب

Abstract


I. Introduction


II. Theoretical Analysis of DRPs Problems


III. Decision-Making Methiod


IV. Application of Decision-Making Method to the Location of an Agricultural Product Logistics Center


V. Conclusion


Authors


Figures


References

نمونه متن انگلیسی مقاله

Abstract


A single reference point (SRP) is typically employed in traditional studies on the multi-attribute decision making (MADM) method. However, SRP lacks the advantage of the multiplicity of reference points and is thus unable to adequately describe loss aversion actions. With the goal of determining the loss aversion characteristics of decision makers, this work proposes an MADM method that is based on double reference points (DRPs) to solve the MADM problem using crisp and interval fuzzy numbers. First, this work describes the universality of decision-making problems with DRPs and then evaluates the characteristics of DRPs and their effects on decision making. Second, attitude and utility functions are established on the basis of the requirements of loss aversion. Third, considering the ‘‘one-vote veto’’ characteristic of a ‘‘dissatisfaction’’ attitude, a binary utility value is created by integrating the occurrence probability p, and the utility value u. The fourth, the main characteristics of and the aggregation method for the binary utility value are analyzed and established. Finally, a new decision-making method is applied to resolve the location decision of an agricultural product logistics center. Results indicate that the relationship between attribute and reference point significantly influences decision behavior. Compared with the traditional decision-making method, the proposed decision-making method can effectively identify the feasibility levels of alternatives. The ranking of the proposed decision-making method for feasible alternatives is basically the same as that of the traditional decision-making method. These results can effectively help solve agricultural engineering problems and broaden the coverage of and provide references for MADM research.


Introduction


Multi-attribute decision-making (MADM) problem refers to the ranking and selection of finite alternatives with multiple attributes [1], [2]. Owing to the MADM problems generally occurring in daily production and activities [1]–[5], the academic community has carried out comprehensive analyses. Today, studies on MADM problems come in two forms: those focused on perfect rational decision making and those focused on bounded rational decision making. The former is typically based on expected utility theory and is frequently adopted to solve MADM problems. The recent studies on the theory and method of MADM suggest that the research on MADM based on complete rationality has achieved substantial results [6], [7], [8]. The latter type is based on loss aversion theory. According to this theory, loss, relative to a reference point, produces greater psychological utility than the same amount of gain does [9], [10]. Loss aversion is a common phenomenon that is rooted in people’s decisionmaking actions and occurs in the areas of politics, economics, athletics, and so on [10]–[12]. Tom et al. even published a thesis on the science that proves loss aversion as a basic mechanism of human beings or animals [13].

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