A GRA method for investment alternative selection under dual hesitant fuzzy environment with incomplete weight information

2015 ◽  
Vol 28 (4) ◽  
pp. 1533-1543 ◽  
Author(s):  
Shanghong Yang ◽  
Yanbing Ju
Keyword(s):  
Fuzzy Environment ◽  
Incomplete Weight ◽  
Incomplete Weight Information

scholarly journals A Combination of Extended Fuzzy AHP and Fuzzy GRA for Government E-Tendering in Hybrid Fuzzy Environment

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Yan Wang ◽  
Chengyu Xi ◽  
Shuai Zhang ◽  
Dejian Yu ◽  
Wenyu Zhang ◽  
...  
Keyword(s):  
Fuzzy Ahp ◽  
Evaluation Methodology ◽  
Gray Relational Analysis ◽  
Prototype System ◽  
Analytic Hierarchy ◽  
Governmental Agencies ◽  
Fuzzy Environment ◽  
Incomplete Weight ◽  
Incomplete Weight Information ◽  
Fuzzy Gra

The recent government tendering process being conducted in an electronic way is becoming an inevitable affair for numerous governmental agencies to further exploit the superiorities of conventional tendering. Thus, developing an effective web-based bid evaluation methodology so as to realize an efficient and effective government E-tendering (GeT) system is imperative. This paper firstly investigates the potentiality of employing fuzzy analytic hierarchy process (AHP) along with fuzzy gray relational analysis (GRA) for optimal selection of candidate tenderers in GeT process with consideration of a hybrid fuzzy environment with incomplete weight information. We proposed a novel hybrid fuzzy AHP-GRA (HFAHP-GRA) method that combines an extended fuzzy AHP with a modified fuzzy GRA. The extended fuzzy AHP which combines typical AHP with interval AHP is proposed to obtain the exact weight information, and the modified fuzzy GRA is applied to aggregate different types of evaluation information so as to identify the optimal candidate tenderers. Finally, a prototype system is built and validated with an illustrative example for GeT to confirm the feasibility of our approach.

Heterogeneous multi-attribute case retrieval method based on group decision making using incomplete weight information

2021 ◽  
pp. 1-13
Author(s):  
Kai Zhang ◽  
Jing Zheng ◽  
Ying-Ming Wang
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Case Based Reasoning ◽  
Case Retrieval ◽  
Interval Numbers ◽  
Retrieval Method ◽  
Incomplete Weight ◽  
Incomplete Weight Information ◽  
Evaluation Information

Case-based reasoning (CBR) is one of the most popular methods used in emergency decision making (EDM). Case retrieval plays a key role in EDM processes based on CBR and usually functions by retrieving similar historical cases using similarity measurements. Decision makers (DMs), thus, choose the most appropriate historical cases. Although uncertainty and fuzziness are present in the EDM process, in-depth research on these issues is still lacking. In this study, a heterogeneous multi-attribute case retrieval method based on group decision making (GDM) with incomplete weight information is developed. First, the case similarities between historical and target cases are calculated, and a set of similar historical cases is constructed. Six formats of case attributes are considered, namely crisp numbers, interval numbers, linguistic variables, intuitionistic fuzzy numbers, single-valued neutrosophic numbers (NNs) and interval-valued NNs. Next, the evaluation information from the DMs is expressed using single-valued NNs. Additionally, the evaluation utilities of similar historical cases are obtained by aggregating the evaluation information. The comprehensive utilities of similar historical cases are obtained using case similarities and evaluation utilities. In this process, the weights of incomplete information are determined by constructing optimization models. Furthermore, the most appropriate similar historical case is selected according to the comprehensive utilities. Finally, the proposed method is demonstrated using two examples; its performance is then compared with those of other similar methods to demonstrate its validity and efficacy.

A new approach for heterogeneous linguistic failure mode and effect analysis with incomplete weight information

2020 ◽  
Vol 148 ◽  
pp. 106659 ◽  
Author(s):  
Yanbing Ju ◽  
Yuanyuan Liang ◽  
Martínez Luis ◽  
Aihua Wang ◽  
Chen-Fu Chien ◽  
...  
Keyword(s):  
Failure Mode ◽  
Effect Analysis ◽  
New Approach ◽  
Incomplete Weight ◽  
Incomplete Weight Information
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