Sorting with TOPSIS through boundary and characteristic profiles

Silva, Diogo Ferreira de Lima; Filho, Adiel Teixeira de Almeida

doi:10.1016/j.cie.2020.106328

Cited by 80 publications

(32 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Apart from the above-mentioned MCDM sorting methods, TOPSIS-Sort is initially proposed by Sabokbar et al (2016). Then it is used by some scholars and applied to various problems (de Lima Silva and de Almeida Filho, 2020;Yamagishi and Ocampo, 2021). This study demonstrates the use of the TOPSIS-Sort approach for occupational health and safety risk assessment.…”

Section: Methodsmentioning

confidence: 99%

A Quantitative Occupational Risk Assessment Methodology Based on TOPSIS-Sort with its Application in Aluminum Extrusion Industry

Gül

2021

International Journal of Pure and Applied Sciences

View full text Add to dashboard Cite

The metal products industry, including the aluminum extrusion industry, is one of the sectors with high risk in terms of occupational health and safety (OHS). Considering this fact and the increasing trend of occupational accidents in the sector, the need to enhance occupational safety becomes clear. Therefore, this study proposes a quantitative occupational risk assessment by a sorting-based technique for order performance by similarity to ideal solution (TOPSIS-Sort) methodology to manage risks in the aluminum extrusion industry. A sorting-based methodology is proposed since the necessity of making a risk classification according to the obtained risk value, which is an important process in risk assessment. The methodology has been demonstrated by evaluating 28 potential hazards under three risk parameters (probability, severity and frequency). The assessed hazards are divided into five risk clusters (Very high risk, High risk, Substantial risk, Possible risk, and Risk) and control measures that will initiate the reduction of risks have been determined. Results of the study show that while one hazard has been placed in the Very high risk cluster, 3 in the High risk cluster, 23 in the Substantial risk cluster and one in the Possible risk cluster.

show abstract

Section: Methodsmentioning

confidence: 99%

A Quantitative Occupational Risk Assessment Methodology Based on TOPSIS-Sort with its Application in Aluminum Extrusion Industry

Gül

2021

International Journal of Pure and Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Pada penelitian terdahulu lainnya menggunakan metode TOPSIS untuk mengetahui baiknya sebuah tingkatan procedural yang diuji menggunakan metode ini dan memperlihatkan koherasi terhadap peringkat yang sudah ditemukan [8]. Penelitian lainnya memperlihatkan kemampuan TOPSIS dalam menentukan pemilihan jasa ekspedisi yang tepat sebagai rekomendasi yang dapat dipilihkan oleh customer sebagai alternatife terbaik dan sesuai dengan keinginan customers [4] [9].…”

Section: Pendahuluanunclassified

Penerapan Metode Technique for Orders Preference by Similarity to Ideal Solution (TOPSIS) dan Rank Order Centroid (ROC) Dalam Pemberian Beasiswa Kartu Indonesia Pintar (KIP)

Arfyanti

2021

mib

View full text Add to dashboard Cite

The provision of KIP scholarships, which are aid scholarships given when a person is still in high school/vocational school, or assistance for high school/vocational high school graduates to continue their education. This assistance is given to students who have good academic potential and have economic limitations. When searching for and determining recipients of scholarship assistance for KIP scholarship recipients by implementing a decision support system using the Technique for Orders Preference by Similarity to Ideal Solution (TOPSIS) method approach where the selection criteria have been determined previously, the criteria are given or weighted using the ROC method ( Rank Order Centroid), so that the election data process will get more optimal results using the TOPSIS method, the results obtained are 0.66061 which is the highest value of all alternative data and in this study shows the data is more shaped to the selection of potential alternatives. get a KIP scholarship with a more accurate weight and ranking process.

show abstract

“…Hence, instead of defining the set of reference alternatives out of the ranking of which the value functions are determined, it is enough to define the examples of offers that will be considered as the limiting profiles of the predefined categories. Such an approach seems quite universal, as it may be applied to basically any core MCDA technique used later to assign the offers into the classes (see [73][74][75]). More importantly, such examples of limiting profiles for subsequent categories are easier to define than reference alternatives in ranking the problem, as they usually are represented by a series of Pareto-dominating alternatives (e.g., the limiting profile of the best and good categories consists of options better than the limiting profile for categories good and average, for every single issue).…”

Section: Using Sorting Approach and Limiting Profiles To Evaluate The Negotiation Spacementioning

confidence: 99%

Reducing Cognitive Effort in Scoring Negotiation Space Using the Fuzzy Clustering Model

Filipowicz-Chomko

Mierzwiak

Nowak

et al. 2021

Entropy

View full text Add to dashboard Cite

Negotiation scoring systems are fundamental tools used in negotiation support to facilitate parties searching for negotiation agreement and analyzing its efficiency and fairness. Such a scoring system is obtained in prenegotiation by implementing selected multiple criteria decision-aiding methods to elicit the negotiator’s preferences precisely and ensure that the support is reliable. However, the methods classically used in the preference elicitation require much cognitive effort from the negotiators, and hence, do not prevent them from using heuristics and making simple errors that result in inaccurate scoring systems. This paper aims to develop an alternative tool that allows scoring the negotiation offers by implementing a sorting approach and the reference set of limiting profiles defined individually by the negotiators in the form of complete packages. These limiting profiles are evaluated holistically and verbally by the negotiator. Then the fuzzy decision model is built that uses the notion of increasing the preference granularity by introducing a series of limiting sub-profiles for corresponding sub-categories of offers. This process is performed automatically by the support algorithm and does not require any additional preferential information from the negotiator. A new method of generating reference fuzzy scores to allow a detailed assignment of any negotiation offer from feasible negotiation space to clusters and sub-clusters is proposed. Finally, the efficient frontier and Nash’s fair division are used to identify the recommended packages for negotiation in the bargaining phase. This new approach allows negotiators to obtain economically efficient, fair, balanced, and reciprocated agreements while minimizing information needs and effort.

show abstract

Sorting with TOPSIS through boundary and characteristic profiles

Cited by 80 publications

References 41 publications

A Quantitative Occupational Risk Assessment Methodology Based on TOPSIS-Sort with its Application in Aluminum Extrusion Industry

A Quantitative Occupational Risk Assessment Methodology Based on TOPSIS-Sort with its Application in Aluminum Extrusion Industry

Penerapan Metode Technique for Orders Preference by Similarity to Ideal Solution (TOPSIS) dan Rank Order Centroid (ROC) Dalam Pemberian Beasiswa Kartu Indonesia Pintar (KIP)

Reducing Cognitive Effort in Scoring Negotiation Space Using the Fuzzy Clustering Model

Contact Info

Product

Resources

About