Advanced Decision Support for the Graph Model for Conflict Resolution

Kinsara, Rami A.; Petersons, Oskar; Hipel, Keith W.; Kilgour, D. Marc

doi:10.1080/12460125.2015.1046682

Cited by 65 publications

(20 citation statements)

References 43 publications

(38 reference statements)

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“…Similarly, the Karnataka government cannot support the existing ruling and accept modifications. The actual feasible number of states were calculated using the GMCR+ software [34,35]. Two types of states are removed from the total possible outcomes, namely mutually exhaustive and generally infeasible conditions.…”

Section: Discussion On Decision-makers' Preferencesmentioning

confidence: 99%

Strategic Insights into the Cauvery River Dispute in India

2020

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For hundreds of years, conflicts in water sharing have existed all around the globe. Cauvery River, in the southern part of India, has been in the midst of such conflict for the last 130 years. Historically, the conflict has been about the right to use water and the states/provinces in conflict have used the water from the river for agricultural purposes. Due to industrialization in the late 1980s and increasing population, water availability in the region has become stressed. Climate change has exacerbated the region's water availability issues. Faltering rainfall has caused unrest in the region, and the traditional methods of water sharing are dwindling under political pressure. Without a climate change strategy, the governments of these states will never be able to solve this complex issue at hand. The Graph Model for Conflict Resolution (GMCR) is applied to understand the nuances of this conflict. It models the preferences of the decision-makers (the states of Tamil Nadu and Karnataka) and the common option (goal) they can reach to potentially solve the conflict. Fuzzy preferences along with option prioritization is also applied to this conflict in order to account for the uncertainties in the decision-makers' preferences. The purpose of this paper is to nudge decision-makers in a productive direction to overcome the long-impending political standoff, while introducing a new methodology of looking into this old conflict.

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Section: Discussion On Decision-makers' Preferencesmentioning

confidence: 99%

Strategic Insights into the Cauvery River Dispute in India

2020

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“…Based on the feasible states, DMs' preferences, the comprehensive analytical results were obtained by the graph model for conflict resolution plus (GMCR+) (Kinsara et al, 2015). The resulting state transitions of technology selection are illustrated in Figure 4.…”

Section: Equilibriums Analysismentioning

confidence: 99%

A Dynamic Bounded Rationality Model for Technology Selection in Cognition Process

Zhou

Wang

2018

Neuroquantology

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This paper attempts to overcome the defect of traditional technology selection models: the inaccurate depiction of the dynamic decision-making in technology selection with fixed time point and static preferences. To this end, a new dynamic model was created considering the preference changing over the time. The preferences were deconstructed with discontinuous functions, and a theory was developed under bounded rationality for the preference changes in four phases of cognition. It is discovered that the decision-maker may become conservative in cognition process, leading to equilibrium evolution in conservative direction over the time. The discovery was verified through a case study on the neuroscience innovation in China. The research findings shed new light on cognition and decision-making studies and open up a new way for technology selection.

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“…The development of GMCR+, a new DSS that incorporates many features designed to improve communication, was recently completed and continues to be expanded. For example, GMCR+ utilises a matrix-based analysis engine allowing for faster and efficient computations (Kinsara, 2014;Kinsara et al, 2015d;Xu et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Communication features in a DSS for conflict resolution based on the graph model

Kinsara

Kilgour

Hipel

2018

IJIDS

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The novel decision support system GMCR+ is designed for encapsulating advanced communication features including the capabilities to define, analyse, and communicate models and analyses of a given conflict, thereby enabling it to support negotiation and the management of strategic conflict. A major feature of GMCR+ is its ability to visualise conflicts explicitly using enriched graph models. Other tools that facilitate communication are the automatic calculation of conflict parameters and the ability to export them to Excel. Moreover, a novel status quo analysis procedure enables an analyst to examine the possible evolution of a conflict from an initial (status quo) state to a specified outcome. Even if a win/win outcome exists, it cannot be a resolution unless it is reachable.

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Advanced Decision Support for the Graph Model for Conflict Resolution

Cited by 65 publications

References 43 publications

Strategic Insights into the Cauvery River Dispute in India

Strategic Insights into the Cauvery River Dispute in India

A Dynamic Bounded Rationality Model for Technology Selection in Cognition Process

Communication features in a DSS for conflict resolution based on the graph model

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