scholarly journals Multi-Perspective Technology Assessment to Improve Decision Making: A Novel Approach Using Fuzzy Cognitive Mapping for a Large-Scale Transmission Line Upgrade

2000 ◽  
Author(s):  
Richard Sperry
Keyword(s):  
Decision Making ◽  
Transmission Line ◽  
Technology Assessment ◽  
Large Scale ◽  
Cognitive Mapping ◽  
Fuzzy Cognitive Mapping ◽  
Novel Approach

Exploring the nature of rural energy transition in India

2017 ◽  
Vol 11 (3) ◽  
pp. 463-479 ◽  
Author(s):  
Anandajit Goswami ◽  
Kaushik Ranjan Bandyopadhyay ◽  
Atul Kumar
Keyword(s):  
Decision Making ◽  
Mental Model ◽  
Cognitive Mapping ◽  
Rural Households ◽  
State Level ◽  
Energy Transition ◽  
Latent Factors ◽  
Rural Energy ◽  
Fuzzy Cognitive Mapping ◽  
Content Type

Purpose The purpose of this paper is to explore the nature of rural energy transition in cooking options in India. Although India is aiming to achieve a double-digit economic growth, a large share of rural households still rely on firewood for cooking which not only has serious repercussions of increasing indoor pollution but also has a concomitant adverse effect on women and child morbidity and mortality. However, transition to clean energy options like improved cookstoves for these households may not be necessarily linear. It is often driven or resisted by latent factors such as caste, trust, social capital, information flow, social positioning of clusters that are deeply embedded in the social and cultural norms and values specific to local rural contexts. This has been shown in the present case study that pertains to eight villages in the remote and deprived Purnea district of Bihar and the need for internalizing them in the macro energy policymaking has been established in the paper. Design/methodology/approach The paper applies a macro foundation research that is complemented by micro foundation tools of fuzzy cognitive mapping-based mental model framework to achieve the purpose of the study. Focused-group discussions and interviews are also conducted to establish the narrative of the paper. Findings Caste, socio-political position, asset structure, remoteness, culture and technology access affect rural households’ decision making capability that is related to shifting from using the traditionalmeans of firewood and biomass based traditional cookstoves for cooking to adopting improved clean cooking stoves which will enable the transition toward the use of clean rural energy in the eight villages in Bihar chosen for this study. Research limitations/implications The findings of the paper have larger implications for the broader macro energy policymaking in the country by taking into account the non-linear, latent factors of village contexts. Practical implications The research will help energy policymakers in decision-making and will guide the implementation process of national- and state-level policies on rural energy transition in India. Social implications The findings of the paper will help the smoother implementation of national- and state-level rural energy transition policies for cooking, creating developmental dividends for rural Indian households. Originality/value The research is new with regard to the application of non-deterministic fuzzy cognitive mapping-based mental model approach to contribute to the country’s national- and state-level rural energy transition policies.

Modeling the decision-making process of financial path transition from entrepreneur's perspective using a fuzzy cognitive mapping

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anji Benhamed ◽  
Said EL Hajjar ◽  
Fatima Hamad Yaseen ◽  
Noamen Amara
Keyword(s):  
Decision Making ◽  
Cognitive Mapping ◽  
Job Security ◽  
Pull Factors ◽  
Push Factors ◽  
Fuzzy Cognitive Mapping ◽  
Content Type ◽  
Pull Factor ◽  
Salary Level ◽  
The Impact

PurposeThis study explores how entrepreneurs modify their financial path(s) and go beyond job security to attain greater financial freedom. The present work examines the cash-flow quadrant (CFQ) attributes and demonstrates the importance of the push-pull factors for an individual's quadrant transition in achieving financial freedom.Design/methodology/approachA hypothetical model and an abductive approach were used through regression models in a population sample of 260 Bahraini entrepreneurs. Fuzzy participatory cognitive mapping was also used to develop a conceptual model of financial path transition's decision making among entrepreneurs and study the impact of certain push-pull factors on the entrepreneurs' decisions.FindingsThe triangulated study identifies six categories of variables: financial freedom, workplace condition, independence, salary level, family life-building and retirement savings as key pull-push factors that significantly impact financial path transition's decision. Fuzzy cognitive mapping (FCM) extends our knowledge of the dynamics of CFQ transitions from a push-pull factor perspective. The results indicate no significant differences between the variables listed in the regression model and the fuzzy cognitive map model. Four categories of pull-push factors appeared as the entrepreneurs' top rankings when ordered by complexity, centrality scores and impact weight. These categories were workplace conditions, financial freedom, independence and salary level. The findings widen the scope of knowledge of each quadrant and rationalize how and why such factors impact quadrant decisions among Bahraini entrepreneurs.Originality/valueMany studies discuss the CFQ model and consider its quadrants a specific method for identifying a unique financial path to generate income. A shifting quadrant occurs when individuals want to change their financial path and move beyond job security to achieve more financial freedom. Although this transition is well-established in the literature, the factors accounting for the individual's transition across quadrants have not received enough attention. This study fills this gap and calls for more in-depth investigations of this area to better understand the dynamics of CFQ transitions from a push-pull factor perspective.

A Novel Approach for Determining Shelter Location-Allocation in Humanitarian Relief Logistics

2021 ◽  
Vol 12 (2) ◽  
pp. 52-68
Author(s):  
Panchalee Praneetpholkrang ◽  
Sarunya Kanjanawattana
Keyword(s):  
Decision Making ◽  
Disaster Response ◽  
Large Scale ◽  
Solution Process ◽  
Decision Makers ◽  
Computational Time ◽  
Optimal Solutions ◽  
Location Allocation ◽  
Novel Approach ◽  
Artificial Neural Network Ann

This study proposes a methodology that integrates the epsilon constraint method (EC) and artificial neural network (ANN) to determine shelter location-allocation. Since shelter location-allocation is a critical part of disaster response stage, fast decision-making is very important. A multi-objective optimization model is formulated to simultaneously minimize total cost and minimize total evacuation time. The proposed model is solved by EC because it generates the optimal solutions without intervention of decision-makers during the solution process. However, EC requires intensive computational time, especially when dealing with large-scale data. Thus, ANN is combined with EC to facilitate prompt decision-making and address the complexity. Herein, ANN is supervised by the optimal solutions generated by EC. The applicability of the proposed methodology is demonstrated through a case study of shelter allocation in response to flooding in Surat Thani, Thailand. It is plausible to use this proposed methodology to improve disaster response for the benefit of victims and decision-makers.

scholarly journals A two-step decision making approach for identification of critical equipment using analytical hierarchy process and preference ranking organization method for enrichment evaluations with improved normalization

2019 ◽  
Vol 39 (2) ◽  
pp. 174-185
Author(s):  
Ashish Khaira ◽  
Ravi Dwivedi
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Critical Section ◽  
Point Of View ◽  
Preference Ranking ◽  
Analytic Hierarchy ◽  
Novel Approach ◽  
Innovative Methodology ◽  
Promethee Method ◽  
Hierarchy Process

Generally, numbers of shops are present in large-scale industries. Therefore, it is necessary to identify critical equipment’s for ensuring lower failure rate. Multiple researchers’ applied risk based analysis to select critical equipment’s from one particular section of a plant; based on the feedback of industry personnel or of their own observations that increases the error probability. Apart from this, the decision making (DM) techniques usually provide the best alternatives, but in maintenance there is a need to identify critical or the worst performing equipment. Therefore, this research paper covers three parts: (1) a novel approach of two-step decision making for identifying critical section and then critical equipment in that section at an electrode graphite manufacturing plant; (2) an innovative methodology of normalization for the Analytic Hierarchy Process (AHP); (3) Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) method for validation. This work identified "utility" section n this heavy industry as a critical section and "screw compressor number 5" as critical equipment. From maintenance point of view, “critical" refers to the worst performing ones. Therefore, if this research followed a conventional methodology, then some other section could randomly be considered as "critical" and the best performing equipment would get the 1st ranking. Apart from this, PROMETHEE also provided the same result which validates the methodology.

scholarly journals Asylum Seekers Arrived, Elites Occupied the Air

2018 ◽  
Vol 39 (2) ◽  
pp. 79-93
Author(s):  
Annu Perälä ◽  
Mari K. Niemi
Keyword(s):  
Decision Making ◽  
Cultural Diversity ◽  
Asylum Seekers ◽  
Large Scale ◽  
Humanitarian Crisis ◽  
Sources Of Knowledge ◽  
Novel Approach ◽  
Challenging Environment ◽  
The Media

Abstract In this study, we examine the choice of interviewees and discussion topics made by Finland’s national broadcasting company YLE during the so-called “asylum-seeker crisis” of 2015 and 2016. The rapid increase in asylum-seekers, combined with deepening political tensions regarding the situation and the entry of a populist anti-immigration party into government, created a challenging environment for the media. This was especially true for YLE, which is committed to political neutrality and cultural diversity. Our data shows that the “crisis” was framed as a crisis hitting Finland and European decision-making rather than as a humanitarian crisis. Despite long-term academic criticism of bias in expert interviewee selection (e.g. the underrepresentation of minority and female interviewees), the media continued to use traditional sources of knowledge. However, in a novel approach for Finland, the media engaged the large-scale involvement of politicians, and especially representatives of the populist Finns Party.

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