{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T12:14:32Z","timestamp":1770034472498,"version":"3.49.0"},"reference-count":30,"publisher":"SAGE Publications","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2021,8,11]]},"abstract":"<jats:p>The attributes influencing the decision-making process in planning transportation of goods from selected facilities locations in disaster zones are considered. Experts evaluate each candidate for humanitarian aid distribution centers (HADCs) (service centers) against each uncertainty factor in q-rung orthopair fuzzy sets (q-ROFS). For representation of experts\u2019 knowledge in the input data for planning emergency service facilities locations a q-rung orthopair fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) approach is developed. Based on the offered fuzzy TOPSIS aggregation a new innovative objective function is introduced which maximizes a candidate HADC\u2019s selection index and reduces HADCs opening risks in disaster zones. The HADCs location and goods transportation problem is reduced to the bi-criteria problem of partitioning the set of customers by the set of service centers: 1) Minimization of opened HADCs and goods transportation total costs; 2) Maximization of HADCs selection index. Partitioning type transportation constraints are also constructed. Our approach for solving the constructed bi-criteria partitioning problem consists of two phases. In the first phase, based on the covering\u2019s matrix, we generate a new matrix with columns allowing to find all possible partitioning of the demand points with the opened HADCs. In the second phase, using the generated matrix and our exact algorithm we find the partitioning \u2013allocations of the HADCs to the centers corresponded to the Pareto-optimal solutions. The constructed model is illustrated with a numerical example.<\/jats:p>","DOI":"10.3233\/jifs-210636","type":"journal-article","created":{"date-parts":[[2021,7,7]],"date-time":"2021-07-07T05:25:49Z","timestamp":1625635549000},"page":"1949-1962","source":"Crossref","is-referenced-by-count":10,"title":["Fuzzy TOPSIS based selection index in the planning of emergency service facilities locations and goods transportation"],"prefix":"10.1177","volume":"41","author":[{"given":"Gia","family":"Sirbiladze","sequence":"first","affiliation":[{"name":"Department of Computer Science, Ivane Javakhishvili Tbilisi State University, Georgia"}]},{"given":"Bidzina","family":"Matsaberidze","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Ivane Javakhishvili Tbilisi State University, Georgia"}]},{"given":"Bezhan","family":"Ghvaberidze","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Ivane Javakhishvili Tbilisi State University, Georgia"}]},{"given":"Bidzina","family":"Midodashvili","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Ivane Javakhishvili Tbilisi State University, Georgia"}]},{"given":"David","family":"Mikadze","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Ivane Javakhishvili Tbilisi State University, Georgia"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-210636_ref1","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.cor.2013.08.001","article-title":"An Exact Solution Approach for Multi-objective Location\u2013transportation Problem for Disaster Response","volume":"41","author":"Abounacer","year":"2014","journal-title":"Computers & Operations Research"},{"key":"10.3233\/JIFS-210636_ref2","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/0377-2217(85)90246-2","article-title":"Facility location models for distribution planning","volume":"22","author":"Aikens","year":"1985","journal-title":"European Journal of Operational Research"},{"key":"10.3233\/JIFS-210636_ref3","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/S0165-0114(86)80034-3","article-title":"Intuitionistic fuzzy sets","volume":"20","author":"Atanassov","year":"1986","journal-title":"Fuzzy Sets and Systems"},{"issue":"1","key":"10.3233\/JIFS-210636_ref4","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.ejor.2007.12.014","article-title":"An Exact Epsilon-constraint Method for Bi-objective Combinatorial Optimization Problems: Application to the Traveling Salesman Problem with Profits","volume":"194","author":"B\u00e9rub\u00e9","year":"2009","journal-title":"European Journal of Operational Research"},{"key":"10.3233\/JIFS-210636_ref5","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.seps.2011.04.004","article-title":"Optimization model in emergency logistics: A literature review","volume":"46","author":"Caunhye","year":"2012","journal-title":"Socio-Economic Planning Sciences"},{"issue":"6","key":"10.3233\/JIFS-210636_ref6","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1142\/S0218488502001739","article-title":"Facility location selection using fuzzy TOPSIS under group decisions","volume":"10","author":"Chu","year":"2002","journal-title":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems"},{"key":"10.3233\/JIFS-210636_ref7","unstructured":"Christofides N. , Graph theory, an algorithmic approach. 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