Two-level multi-criteria comprehensive evaluation for preference vectors in online shopping platform evaluation

2020 ◽  
Vol 39 (5) ◽  
pp. 7921-7930
Author(s):  
Liu Fan ◽  
Ronald R. Yager ◽  
Radko Mesiar ◽  
LeSheng Jin
Keyword(s):  
Online Shopping ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Decision Makers ◽  
Main Indicator ◽  
Proposed Model ◽  
Detailed Evaluation ◽  
Negative Effect ◽  
High Consistency ◽  
Evaluation Information

The evaluation for online shopping platform is the basis for further decision and policy taking. The collected individual opinion and evaluation information are often represented by some linguistic/preference vectors. Further aggregating those vector needs to simultaneously consider two contradictory factors: the original weights assigned and the inconsistencies involved which requires some new weights assigned. Around those weights allocation factors, to mitigate the negative effect of inconsistency in the collected information, we propose an integrated evaluation model. The model uses the scatter degree as a main indicator, and extends some weights allocation methods such as regular increasing monotone (RIM) quantifier based weights allocation in a new environment, and applies the three sets expression based paradigm and formulation. The proposed model is able to simultaneously give emphasis on those input data with high consistency and to consider the preferences of decision makers. Some detailed evaluation processes and numerical examples are also provided for practitioners to refer to.

scholarly journals A Model for Trend Analysis in the Online Shopping Scenario Using Multilevel Hesitation Pattern Mining

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Abhishek Dixit ◽  
Akhilesh Tiwari ◽  
R. K. Gupta
Keyword(s):  
Pattern Mining ◽  
Online Shopping ◽  
Decision Makers ◽  
Rule Mining ◽  
Usual Practice ◽  
Confidence Threshold ◽  
Proposed Model ◽  
Support Threshold ◽  
Multiple Levels ◽  
Conceptual Hierarchy

The present paper proposes a new model for the exploration of hesitated patterns from multiple levels of conceptual hierarchy in the transactional dataset. The usual practice of mining patterns has focused on identifying frequent patterns (i.e., which occur together) in the transactional dataset but uncovers the vital information about the patterns which are almost frequent (but not exactly frequent) called “hesitated patterns.” The proposed model uses the reduced minimum support threshold (contains two values: attractiveness and hesitation) and constant minimum confidence threshold with the top-down progressive deepening approach for generating patterns and utilizing the apriori property. To validate the model, an online purchasing scenario of books through e-commerce-based online shopping platforms such as Amazon has been considered and shown that how the various factors contributed towards building hesitation to purchase a book at the time of purchasing. The present work suggests a novel way for deriving hesitated patterns from multiple levels in the conceptual hierarchy with respect to the target dataset. Moreover, it is observed that the concepts and theories available in the existing related work Lu and Ng (2007) are only focusing on the introductory aspect of vague set theory-based hesitation association rule mining, which is not useful for handling the patterns from multiple levels of granularity, while the proposed model is complete in nature and addresses the very significant and untouched problem of mining “multilevel hesitated patterns” and is certainly useful for exploring the hesitated patterns from multiple levels of granularity based on the considered hesitation status in a transactional dataset. These hesitated patterns can be further utilized by decision makers and business analysts to build the strategy on how to increase the attraction level of such hesitated items (appeared in a particular transaction/set of transactions in a given dataset) to convert their state from hesitated to preferred items.

Decision Evaluation of Harbin Metro Based on Fuzzy Theory

2013 ◽  
Vol 438-439 ◽  
pp. 1024-1027
Author(s):  
Xiao Guo Chen
Keyword(s):  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Decision Makers ◽  
Geological Environment ◽  
Analytic Hierarchy ◽  
Comprehensive Evaluation Model ◽  
Hierarchy Process ◽  
Weight Coefficients

The paper introduces some information about Harbin Metro line 1, makes the decision analysis on economies, environment, society and geological environment of Harbin Metro line 1 by some fuzzy comprehensive evaluation model, and gives the weight coefficients of indicators through analytic hierarchy process. The comprehensive evaluation result provides the basis for decision-makers during decision of metro projects.

A Model for Evaluating Programs for the Gifted under Non-experimental Conditions

1992 ◽  
Vol 15 (3) ◽  
pp. 266-283 ◽  
Author(s):  
Kyle R. Carter
Keyword(s):  
Program Effectiveness ◽  
Evaluation Model ◽  
School Setting ◽  
Decision Makers ◽  
Experimental Conditions ◽  
Program Evaluations ◽  
Ex Post ◽  
Ex Post Facto ◽  
Comparison Groups ◽  
Evaluation Information

The author describes an evaluation model for assessing programs for the gifted under non-experimental conditions, which are typical of educational settings, and then presents a sample evaluation to illustrate the application of the model. The model consists of four components: ex post facto designs including intact groups, comparative evaluation, strength of treatment and multiple outcome assessment from flexible data sources. It is based upon three assumptions: 1) meaningful data for program evaluations can be obtained without performing tightly controlled experiments, which are usually impractical for field settings, 2) suitable instrumentation is available or can be constructed to measure student outcomes, and 3) appropriate comparison groups can be obtained in the school setting to provide a test for curricula for the gifted. It is the author's contention that proper use of the model in field settings can provide relevant program evaluation information correlated with program effectiveness. These findings, if properly interpreted, can be helpful to decision makers who make formative and summative decisions about programs for the gifted.

The Comprehensive Evaluation for Nuclear Facility Decommissioning Scheme Based on AHP-DEA Method

2017 ◽  
Author(s):  
Lu Bai ◽  
Yong-kuo Liu ◽  
Nan Chao
Keyword(s):  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Analytic Method ◽  
Nuclear Facility ◽  
Nuclear Facilities ◽  
Program Selection ◽  
Proposed Model ◽  
Dea Method ◽  
Scheme Selection ◽  
Selection Of

In view of the lack of research on decommissioning scheme selection of nuclear facilities and the inability to directly use the evaluation model of existing non-radioactive environment construction schemes. In this paper, propose a task analytic method in radiation field based on AHP-DEA model, which takes accomplishment the task safety as the decision-making target. The evaluation model can both reflect the decision preference of experts and improve the rationality of evaluation by mathematical calculation. The experimental results show that the proposed model has obvious advantages for program selection and can be applied to the evaluation and optimization of decommissioning scheme.

Logistics Infrastructure Network Evaluation Method Research Based on Logistics Resource Integration in Railway Logistics Enterprises

2014 ◽  
Vol 933 ◽  
pp. 941-946
Author(s):  
Xi Chen ◽  
Xiao Ning Zhu
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Criteria ◽  
Theory And Practice ◽  
Logistics Network ◽  
Proposed Model ◽  
Infrastructure Network ◽  
Logistics Enterprises ◽  
The Relationship

In view of logistics resources integration, this paper introduces an evaluation method of logistics network infrastructure in railway logistics enterprises. The comprehensive evaluation model is established according to the aspects which demonstrate several key indexes and the relationship between them. To illustrate the effectiveness of the above method and the application of the proposed model, a case is studied that verifies the importance of the research in the logistics theory and practice. It presents an evaluation criteria and evaluation model of logistics infrastructure network. The computational results indicate that the evaluation method in selected case is in decent rank.

An Optimal Evaluation Model for Grid Short-Circuit Current Limitation Measures

2013 ◽  
Vol 732-733 ◽  
pp. 782-788
Author(s):  
Jing Hao Chen ◽  
Wen Ying Liu ◽  
Wei Zheng ◽  
Chen Liang
Keyword(s):  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Short Circuit ◽  
Short Circuit Current ◽  
Fuzzy Comprehensive Evaluation ◽  
Current Limitation ◽  
Proposed Model ◽  
Comprehensive Evaluation Model ◽  
Optimal Evaluation

A model for optimally evaluating grid short-circuit current limitation measures is proposed. Based on the fuzzy comprehensive evaluation model, a comprehensive evaluation system is introduced to consider the limiting effect and economy of the limiting measures configure program, also the program's impact on system security is involved. A judgment matrix is constructed to determine the weights of different system layers. With fuzzy behavior indices and membership function being led into, the evaluation of configuration program is given. Taking Gansu power grid for example, the feasibility and practicality of the proposed model are verified by simulation results.

scholarly journals A Novel Dynamic Multi-Criteria Decision Making Method Based on Generalized Dynamic Interval-Valued Neutrosophic Set

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 618 ◽  
Author(s):  
Nguyen Tho Thong ◽  
Florentin Smarandache ◽  
Nguyen Dinh Hoa ◽  
Le Hoang Son ◽  
Luong Thi Hong Lan ◽  
...  
Keyword(s):  
Decision Making ◽  
Evaluation Model ◽  
Real Life ◽  
Decision Makers ◽  
Neutrosophic Set ◽  
Multi Criteria Decision Making ◽  
Neutrosophic Sets ◽  
Proposed Model ◽  
Interval Valued ◽  
Knowledge Evaluation

Dynamic multi-criteria decision-making (DMCDM) models have many meaningful applications in real life in which solving indeterminacy of information in DMCDMs strengthens the potential application of DMCDM. This study introduces an extension of dynamic internal-valued neutrosophic sets namely generalized dynamic internal-valued neutrosophic sets. Based on this extension, we develop some operators and a TOPSIS method to deal with the change of both criteria, alternatives, and decision-makers by time. In addition, this study also applies the proposal model to a real application that facilitates ranking students according to attitude-skill-knowledge evaluation model. This application not only illustrates the correctness of the proposed model but also introduces its high potential appliance in the education domain.

The Application of Fuzzy Comprehensive Evaluation Method Based on Interval Number Distance in Water Quality Analysis

2013 ◽  
Vol 361-363 ◽  
pp. 954-957
Author(s):  
Xiao Ping Zhang ◽  
Wen Jie Xu ◽  
Wei Guo Chen
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Interval Number ◽  
Quality Analysis ◽  
Comprehensive Evaluation Method ◽  
Model Based ◽  
Proposed Model ◽  
Comprehensive Evaluation Model

The defects of present fuzzy comprehensive evaluation model based on interval value are pointed out. To improve these defects, a new calculation method of fuzzy membership degree is provided and a fuzzy comprehensive evaluation model based on interval number distance is built. This model is applied to Lake Dongchang. And it can be indicated that the proposed model is reasonable and practical.

A Comprehensive Evaluation Model for Assessments of Grinding Machining Quality

2005 ◽  
Vol 291-292 ◽  
pp. 157-162 ◽  
Author(s):  
Hong Zhong Huang ◽  
Yong Hua Li ◽  
L.-H. Xue
Keyword(s):  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Weighted Average ◽  
Fuzzy Comprehensive Evaluation ◽  
Ahp Method ◽  
Machining Quality ◽  
Proposed Model ◽  
Comprehensive Evaluation Model ◽  
Measure Methods ◽  
Hierarchy Process

Grinding machining quality contains machining precision and grinding surface integrality. The factors influencing grinding machining quality have fuzzy characteristics. For example, the magnitude and measure methods of grinding surface roughness have fuzzy uncertainties. The grades of the machining quality are vague, and there is no definite boundary between “good” and “bad” machining quality. Analytical Hierarchy Process (AHP) combined with the fuzzy comprehensive evaluation technique is used to evaluate the grade condition of the quality in this paper. Considering the fuzziness of the factors, a two-stage fuzzy comprehensive evaluation model is proposed to evaluate the grinding machining quality. In light of different reliable degrees of different kinds of fuzzy operator models, the weighted average method is used. The membership degrees of the evaluation factors are determined by experts’ knowledge and experiences. The factor weights are calculated via the AHP method. Certain synthetic importance of each stage evaluation is presented through weighted sum of the relative important degree. Examples of conventional external grinding machining illustrate the effectiveness of the proposed model.

Research on Scheme Evaluation of the Automobile Fault Diagnosis System

2012 ◽  
Vol 159 ◽  
pp. 235-239
Author(s):  
Min Yong Tong
Keyword(s):  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Diagnosis System ◽  
Proposed Model ◽  
Study Results ◽  
Comprehensive Evaluation Model ◽  
Fault Diagnosis System ◽  
Scheme Evaluation

Based on the characteristics of the automobile diagnosis system scheme, this paper has established the parameter system of diagnosis system scheme evaluation. Aiming at automobile diagnosis system scheme is difficult to evaluate its condition because of its structure is complex and its monitoring parameters are complicated and various, a second order fuzzy comprehensive evaluation model is proposed. The case study results show that the proposed model is feasible and effective. Hence, the evaluated results can aid to automobile diagnosis system design.

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