Huang J.-JTzeng G.-HCHORNG-SHYONG ONG2022-11-182022-11-18200601605682https://www.scopus.com/inward/record.uri?eid=2-s2.0-33748665473&doi=10.1057%2fpalgrave.jors.2602108&partnerID=40&md5=b8a53122306693b5e9945dbb6f7304b9https://scholars.lib.ntu.edu.tw/handle/123456789/625731Synergy effects are the motives to enter into strategic alliances; however due to lack of adequate preparation or planning, these alliances often fail. It is of no doubt that a successful strategic alliance depends on choosing the correct alliance partners and appropriate resource allocation. In this paper, the fuzzy multi-objective dummy programming model is proposed to overcome the above-mentioned problems. Two types of strategic alliances, joint ventures and mergers and acquisitions (M&A), are demonstrated to choose the best alliance partners and allocate the optimal alliance resources in a numerical example. Based on the results, our method can provide the optimal alliance cluster and satisfaction in strategic alliances. © 2006 Operational Research Society Ltd. All rights reserved.De Novo programming; Fuzzy sets; Joint ventures; Mergers and acquisitions (M&A); Strategic alliancesComputer programming; Fuzzy sets; Mathematical models; Mergers and acquisitions; Planning; Problem solving; De Novo programming; Joint ventures; Strategic alliances; Resource allocationjournal article10.1057/palgrave.jors.26021082-s2.0-33748665473