MODELING IMPRECISION AND SUBJECTIVENESS FOR THE MULTIATTRIBUTE DECISIONS

2006 ◽  
Vol 11 (01) ◽  
Author(s):  
Florica Luban
Keyword(s):  
Multiattribute Decisions

Perceived Risk and Composition Models for Multiattribute Decisions

1978 ◽  
Vol 15 (3) ◽  
pp. 429-437 ◽  
Author(s):  
Bernard Pras ◽  
John O. Summers
Keyword(s):  
Perceived Risk ◽  
Expected Value ◽  
Conceptual Scheme ◽  
Multiattribute Decisions ◽  
Value Measure

A conceptual scheme for integrating perceived risk into composition models for multiattribute decisions is developed. A comparison of the predictions obtained from the proposed “risk-adjusted” brand/attribute evaluations with those from an expected value measure suggests that perceived risk is significant in the formation of preferences.

scholarly journals A new task format for investigating information search and organization in multiattribute decisions

2014 ◽  
Vol 47 (2) ◽  
pp. 506-518 ◽  
Author(s):  
Florence Ettlin ◽  
Arndt Bröder ◽  
Mirka Henninger
Keyword(s):  
Information Search ◽  
Multiattribute Decisions

Perceived Risk and Composition Models for Multiattribute Decisions

1978 ◽  
Vol 15 (3) ◽  
pp. 429 ◽  
Author(s):  
Bernard Pras ◽  
John O. Summers
Keyword(s):  
Perceived Risk ◽  
Multiattribute Decisions

Computer-Based Explanation of Multiattribute Decisions

1992 ◽  
pp. 159-171
Author(s):  
David A. Klein ◽  
Martin Weber ◽  
Edward H. Shortliffe
Keyword(s):  
Multiattribute Decisions ◽  
Computer Based

scholarly journals Sequential processing of cues in memory-based multiattribute decisions

2007 ◽  
Vol 14 (5) ◽  
pp. 895-900 ◽  
Author(s):  
Arndt Bröder ◽  
Wolfgang Gaissmaier
Keyword(s):  
Sequential Processing ◽  
Multiattribute Decisions

scholarly journals Heronian Mean Operator of Linguistic Neutrosophic Cubic Numbers and Their Multiple Attribute Decision-Making Methods

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Changxing Fan ◽  
Jun Ye
Keyword(s):  
Decision Making ◽  
Information Aggregation ◽  
Multiple Attribute Decision Making ◽  
Aggregation Operator ◽  
Aggregation Operators ◽  
Multiple Attribute ◽  
Decision Methods ◽  
Multiattribute Decisions ◽  
Heronian Mean

Many aggregation operators in multiattribute decisions assume that attributes are independent of each other; this leads to an unreasonable situation in information aggregation and decision-making. Heronian mean is the aggregation operator that can embody the interaction between attributes. In this paper, we merge the linguistic neutrosophic cubic number (LNCN) and the Heronian mean operator together to develop a LNCN generalized weighted Heronian mean (LNCNGWHM) operator and a LNCN three-parameter weighted Heronian mean (LNCNTPWHM) operator and then discuss their properties. Further, two multiattribute decision methods based on the proposed LNCNGWHM or LNCNTPWHM operator are introduced under LNCN environment. Finally, an example is used to indicate the effectiveness of the developed methods.

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