مقاله انگلیسی رایگان در مورد روش تصمیم گیری چند صفتی با نقاط مرجع دوگانه – IEEE 2019

مقاله انگلیسی رایگان در مورد روش تصمیم گیری چند صفتی با نقاط مرجع دوگانه – IEEE 2019

 

مشخصات مقاله
ترجمه عنوان 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
انتشار مقاله سال ۲۰۱۹
تعداد صفحات مقاله انگلیسی ۱۰ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه IEEE
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) Scopus – Master Journals List – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۴٫۶۴۱ در سال ۲۰۱۸
شاخص H_index ۵۶ در سال ۲۰۱۹
شاخص SJR ۰٫۶۰۹ در سال ۲۰۱۸
شناسه ISSN ۲۱۶۹-۳۵۳۶
شاخص Quartile (چارک) Q2 در سال ۲۰۱۸
مدل مفهومی ندارد
پرسشنامه ندارد
متغیر ندارد
رفرنس دارد
رشته های مرتبط مهندسی صنایع، مهندسی کشاورزی
گرایش های مرتبط لجستیک و زنجیره تامین، اقتصاد کشاورزی
نوع ارائه مقاله
ژورنال
مجله / کنفرانس دسترسی – IEEE Access
دانشگاه  College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
کلمات کلیدی 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
شناسه دیجیتال – doi
https://doi.org/10.1109/ACCESS.2019.2954377
کد محصول  E14038
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
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

 

بخشی از متن 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]–[۵], 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]–[۱۲]. 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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