An interactive multi-user decision support system for consensus reaching processes using fuzzy logic with linguistic quantifiers

Fedrizzi, Mario; Kacprzyk, Janusz; Zadrożny, Sławomir

doi:10.1016/0167-9236(88)90019-x

Cited by 117 publications

(39 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These rounds can be conducted by a human or virtual moderator (see Fedrizzi et al [11], Saint and Lawson [23], Herrera et al [18], Herrera-Viedma et al [19], Cabrerizo et al [6] and Wu and Chiclana [25], among others). Once a previously fixed consensus threshold is reached, a group decision making procedure can be carried out in order to rank the alternatives or to select a winning alternative.…”

Section: Consensus Reaching Processesmentioning

confidence: 99%

A consensus reaching process in the context of non-uniform ordered qualitative scales

García-Lapresta

Pérez-Román

2016

Fuzzy Optim Decis Making

View full text Add to dashboard Cite

In this paper, we consider that a group of agents judge a set of alternatives by means of an ordered qualitative scale. The scale is not assumed to be uniform, i.e., the psychological distance between adjacent linguistic terms is not necessarily always the same. In this setting, we propose how to measure the consensus in each subset of at least two agents over each subset of alternatives. We introduce a consensus reaching process where some agents may be invited to change their assessments over some alternatives in order to increase the consensus. All the steps are managed in a purely ordinal way through ordinal proximity measures.

show abstract

Section: Consensus Reaching Processesmentioning

confidence: 99%

A consensus reaching process in the context of non-uniform ordered qualitative scales

García-Lapresta

Pérez-Román

2016

Fuzzy Optim Decis Making

View full text Add to dashboard Cite

show abstract

“…Here we present some design assumptions which show the novelty of our approach, notably in comparison to earlier similar works, cf., e.g. 5,12,13 …”

Section: Discussionmentioning

confidence: 99%

On a concept of a consensus reaching process support system based on the use of soft computing and Web techniques

Kacprzyk¹,

Zadrożny²

2008

Computational Intelligence in Decision and Control

View full text Add to dashboard Cite

An idea of a new model of a Web-based system to support a group of decision makers in reaching consensus is proposed. The core of the system is a flexible human consistent representation of preferences. However many means, notably Web-based, are conceived to help a group member to form and express his or her preferences. Moreover the model integrates the mechanisms for the discussion guidance so as to smoothly and effectively run the session.

show abstract

“…In the present formulation the model combines a soft measure of collective dissensus 8,10,11 with an inertial mechanism of opinion changing aversion. 17,18 Regarding the extension of the soft consensus approach to the linguistic fuzzy preference framework see Refs.…”

Section: Introductionmentioning

confidence: 99%

Soft consensus and network dynamics in group decision making

Fedrizzi¹,

Pereira²

1999

Int. J. Intell. Syst.

Self Cite

View full text Add to dashboard Cite

An interactive multi-user decision support system for consensus reaching processes using fuzzy logic with linguistic quantifiers

Cited by 117 publications

References 21 publications

A consensus reaching process in the context of non-uniform ordered qualitative scales

A consensus reaching process in the context of non-uniform ordered qualitative scales

On a concept of a consensus reaching process support system based on the use of soft computing and Web techniques

Soft consensus and network dynamics in group decision making

Contact Info

Product

Resources

About