Abstract
Aiming at complexity and uncertainty of actual decision-making environment, this study proposes a multiple attribute decision-making model of grey target based on positive and negative bull’s-eye. Firstly, it defines that the optimal effect vector and the worst effect vector of grey target decision are respectively positive, negative bull’s-eye of the grey target; secondly, comprehensively considering the space projection distance between various schemes and the positive and negative bull’s-eye, it takes bull’s-eye distance as the basis for space analysis and obtains a new integrated bull’s-eye distance; then, in accordance with the comprehensive guidelines to minimize the bull’s-eye distance, it constructs goal programming model for goal function, and thus solves the index weight. Finally, through case studies of selective purchase of information system, it verifies feasibility and effectiveness of the proposed grey target decision-making model.
Highlights
Grey target decision-making, as an important part of grey decision-making method, has been widely applied in many fields
Dai and Li (2014), Multiple Attribute Decision-Making Model Of Grey Target targeting at a class of group decision-making problems with property value, attribute weight and policymaker weights as interval grey number, introduced concept of group positive and negative bull’s-eye and group deviation approaching degree and proposed group decision-making method for grey multiple attribute deviation approaching degree
It can be seen that research on grey target decision-making issues with decision-making information as interval grey number and uncertain index weight is relatively small
Summary
Grey target decision-making, as an important part of grey decision-making method, has been widely applied in many fields. The proposed approach of this study first cluster different projects based on k-means algorithm and ranks R&D projects by grey relational analysis model. William Ho et al (2010) proposed the literature of the multi-criteria decision making approaches for supplier evaluation and selection. This study provides evidence that the multi-criteria decision making approaches are better than the traditional cost-based approach, and aids the researchers and decision makers in applying the approaches effectively (Mohsen et al, 2011). Ma and Sun (2014), targeting at existing research results in multiple attribute grey target decision-making, extended the positive bull’s-eye decided by policymakers’ ideal preference and choice preference in index values of certain attributes to negative bull’s-eye, analyzed different attribute value preference’s impact on the decision-making scheme indicator, and dealt with policymakers’ preference with generalized method of grey target decision-making. This paper proposes the corresponding grey target decision-making model to meet the needs of such decision-making
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